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1Fuzzy If-then Rules In Computational Intelligence : Theory And Applications

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  • Title: ➤  Fuzzy If-then Rules In Computational Intelligence : Theory And Applications
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1007.08 Mbs, the file-s for this book were downloaded 26 times, the file-s went public at Sat May 28 2022.

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2Computational Intelligence In Optimization : Applications And Implementations

xx, 412 p. : 24 cm

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  • Title: ➤  Computational Intelligence In Optimization : Applications And Implementations
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The book is available for download in "texts" format, the size of the file-s is: 941.61 Mbs, the file-s for this book were downloaded 27 times, the file-s went public at Tue Sep 07 2021.

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3Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings

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xx, 412 p. : 24 cm

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  • Title: ➤  Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1480.06 Mbs, the file-s for this book were downloaded 14 times, the file-s went public at Sat Feb 06 2021.

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4Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings

xx, 412 p. : 24 cm

“Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings” Metadata:

  • Title: ➤  Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1672.70 Mbs, the file-s for this book were downloaded 28 times, the file-s went public at Mon Oct 12 2020.

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5Practical Hydroinformatics: Computational Intelligence And Technological Developments In Water Applications

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xx, 412 p. : 24 cm

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  • Title: ➤  Practical Hydroinformatics: Computational Intelligence And Technological Developments In Water Applications
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The book is available for download in "texts" format, the size of the file-s is: 848.11 Mbs, the file-s for this book were downloaded 11 times, the file-s went public at Thu Jan 18 2024.

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6The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines” Metadata:

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The book is available for download in "texts" format, the size of the file-s is: 0.50 Mbs, the file-s for this book were downloaded 31 times, the file-s went public at Sat Jun 30 2018.

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7Computational Intelligence In Time Series Forecasting : Theory And Engineering Applications

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

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The book is available for download in "texts" format, the size of the file-s is: 988.60 Mbs, the file-s for this book were downloaded 35 times, the file-s went public at Mon Dec 12 2022.

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8Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques” Metadata:

  • Title: ➤  Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques
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The book is available for download in "texts" format, the size of the file-s is: 679.27 Mbs, the file-s for this book were downloaded 29 times, the file-s went public at Sat Jun 03 2023.

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9Computational Intelligence Paradigms : Theory And Applications Using MATLAB

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

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The book is available for download in "texts" format, the size of the file-s is: 1381.93 Mbs, the file-s for this book were downloaded 22 times, the file-s went public at Thu Oct 21 2021.

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10Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications” Metadata:

  • Title: ➤  Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications
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The book is available for download in "texts" format, the size of the file-s is: 1084.73 Mbs, the file-s for this book were downloaded 129 times, the file-s went public at Sat May 09 2020.

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11Business Applications And Computational Intelligence

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“Business Applications And Computational Intelligence” Metadata:

  • Title: ➤  Business Applications And Computational Intelligence
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The book is available for download in "texts" format, the size of the file-s is: 997.78 Mbs, the file-s for this book were downloaded 22 times, the file-s went public at Tue Jan 14 2020.

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12Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings” Metadata:

  • Title: ➤  Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1207.40 Mbs, the file-s for this book were downloaded 7 times, the file-s went public at Mon Sep 25 2023.

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13Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

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  • Title: ➤  Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 861.50 Mbs, the file-s for this book were downloaded 93 times, the file-s went public at Fri Jan 10 2020.

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14Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms

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In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

“Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms” Metadata:

  • Title: ➤  Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms
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The book is available for download in "texts" format, the size of the file-s is: 1104.14 Mbs, the file-s for this book were downloaded 18 times, the file-s went public at Tue Jun 07 2022.

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15Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases

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Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.

“Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases” Metadata:

  • Title: ➤  Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases
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The book is available for download in "texts" format, the size of the file-s is: 15.97 Mbs, the file-s for this book were downloaded 58 times, the file-s went public at Thu Jun 28 2018.

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16Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications

Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.

“Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications” Metadata:

  • Title: ➤  Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications
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The book is available for download in "texts" format, the size of the file-s is: 852.05 Mbs, the file-s for this book were downloaded 27 times, the file-s went public at Sat Jan 28 2023.

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17Computational Intelligence And Applications

Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.

“Computational Intelligence And Applications” Metadata:

  • Title: ➤  Computational Intelligence And Applications
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The book is available for download in "texts" format, the size of the file-s is: 947.31 Mbs, the file-s for this book were downloaded 24 times, the file-s went public at Mon May 16 2022.

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18DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks

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Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks. The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. The proposed architecture successfully trains a 2x2 game tree. The contribution of the second experiment is the development of a computational intelligence algorithm called collective cooperative learning (CCL). CCL learns the group size of Go stones on a Go board with zero knowledge by communicating only with the immediate neighbors. An analysis determines the lower bound of a design parameter that guarantees a solution. The contribution of the third experiment is the proposal of a unified system architecture for a Go robot. A prototype Go robot is implemented for the first time in the literature. The last experiment tackles a disruption-tolerant routing problem for a network suffering from link disruption. This experiment represents the first time that the disruption-tolerant routing problem has been formulated with a Markov Decision Process. In addition, the packet delivery rate has been improved under a range of link disruption levels via a reinforcement learning approach.

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  • Title: ➤  DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks
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19Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, Septemer 21-23, 2011 : Proceedings, Part I

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Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks. The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. The proposed architecture successfully trains a 2x2 game tree. The contribution of the second experiment is the development of a computational intelligence algorithm called collective cooperative learning (CCL). CCL learns the group size of Go stones on a Go board with zero knowledge by communicating only with the immediate neighbors. An analysis determines the lower bound of a design parameter that guarantees a solution. The contribution of the third experiment is the proposal of a unified system architecture for a Go robot. A prototype Go robot is implemented for the first time in the literature. The last experiment tackles a disruption-tolerant routing problem for a network suffering from link disruption. This experiment represents the first time that the disruption-tolerant routing problem has been formulated with a Markov Decision Process. In addition, the packet delivery rate has been improved under a range of link disruption levels via a reinforcement learning approach.

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20Advanced Applications Of Fuzzy Systems And Computational Intelligence In Decision-Support Systems

This paper systematically explores cutting-edge fuzzy systems—such as Type-2, Pythagorean, and Neutrosophic sets—and computational frameworks like Granular Computing (GrC) and Z-numbers, aligning them with practical applications in intelligent systems. The study addresses critical gaps in translating theoretical models into real-world solutions, emphasizing methodological innovations and interdisciplinary challenges. Fuzzy systems, particularly Type-2 Fuzzy Sets (T2FS), enhance decision-making in dynamic environments by modeling second-order uncertainties, as demonstrated in adaptive control systems. Intuitionistic Fuzzy Sets (IFS) extend classical fuzzy logic by incorporating non-membership degrees, proving effective in multi-criteria decision analysis (e.g., sustainable supply chain management). Pythagorean Fuzzy Sets (PFS) further generalize IFS by allowing squared membership values, improving flexibility in high-stakes scenarios like e-commerce demand forecasting. Advanced extensions are analyzed for cybersecurity and crisis management applications, including Neutrosophic Sets (Handling indeterminacy) and soft sets (Managing incomplete data). In computational intelligence, GrC partitions data into hierarchical granules, enabling context-aware decisions in smart traffic systems. Z-numbers and D-numbers —tools for reliability-based uncertainty modeling—are evaluated for risk assessment in infrastructure projects, though their integration with Machine Learning (ML) remains underexplored. Hybrid models, such as Fuzzy-Genetic Algorithms (GAs), showcase practical benefits, reducing energy consumption in smart grids by 18. Methodological challenges include translating technical terms (e.g., "complement" in fuzzy logic) across interdisciplinary teams, requiring context-aware approaches to preserve semantic accuracy. Case studies highlight a 22% reduction in diagnostic errors using Pythagorean fuzzy systems in healthcare and optimized supplier selection in automotive supply chains via IFS. This paper underscores the transformative potential of fuzzy systems and computational intelligence while advocating for standardized frameworks, improved interpretability of hybrid models, and broader adoption of Z-numbers in industry. Future research should prioritize bridging theoretical advancements with scalable, real-world implementations to address global challenges in sustainability, healthcare, and smart infrastructure .

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1Computational intelligence and applications

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“Computational intelligence and applications” Metadata:

  • Title: ➤  Computational intelligence and applications
  • Language: English
  • Number of Pages: Median: 369
  • Publisher: Physica-Verlag
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  • Publish Location: New York - Heidelberg

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  • First Year Published: 1999
  • Is Full Text Available: Yes
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  • Access Status: Borrowable

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2Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry

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  • Title: ➤  Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry
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  • Language: English
  • Number of Pages: Median: 910
  • Publisher: Springer
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  • First Year Published: 1988
  • Is Full Text Available: Yes
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  • Access Status: Borrowable

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