Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty - Info and Reading Options
By Janusz T. Starczewski
"Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty" was published by Springer Berlin Heidelberg in 2013 - Berlin, Heidelberg, the book is classified in Technology & Engineering genre, it has 314 pages and the language of the book is English.
“Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty” Metadata:
- Title: ➤ Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
- Author: Janusz T. Starczewski
- Language: English
- Number of Pages: 314
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer Berlin Heidelberg
- Publish Date: 2013
- Publish Location: Berlin, Heidelberg
- Genres: Technology & Engineering
“Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty” Subjects and Themes:
- Subjects: ➤ Engineering - Computer simulation - Simulation and Modeling - Engineering design - Computational intelligence - Fuzzy sets - Fuzzy logic - Uncertainty (information theory)
Edition Specifications:
- Format: [electronic resource] /
Edition Identifiers:
- Google Books ID: OUK7BQAAQBAJ
- The Open Library ID: OL27014553M - OL19823902W
- ISBN-13: 9783642295201
- ISBN-10: 3642295207
- All ISBNs: 9783642295201 - 3642295207
AI-generated Review of “Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty”:
Snippets and Summary:
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising ...
"Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty" Description:
Google Books:
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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