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Decision Making Algorithmic Techniques Based On Aggregation Operations And Similarity Measures Of Possibility Intuitionistic Fuzzy Hypersoft Sets by Atiqe Ur Rahman%3b Muhammad Saeed%3b Hamiden Abd El Wahed Khalifa%3b Walaa Abdullah Afif

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1Decision Making Algorithmic Techniques Based On Aggregation Operations And Similarity Measures Of Possibility Intuitionistic Fuzzy Hypersoft Sets

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Soft set has limitation for the consideration of disjoint attribute-valued sets corresponding to distinct attributes whereas hypersoft set, an extension of soft set, fully addresses this scarcity by replacing the approximate function of soft sets with multi-argument approximate function. Some structures (i.e., possibility fuzzy soft set, possibility intuitionistic fuzzy soft set) exist in literature in which a possibility of each element in the universe is attached with the parameterization of fuzzy sets and intuitionistic fuzzy sets while defining fuzzy soft set and intuitionistic fuzzy soft set respectively. This study aims to generalize the existing structure (i.e., possibility intuitionistic fuzzy soft set) and to make it adequate for multi-argument approximate function.

“Decision Making Algorithmic Techniques Based On Aggregation Operations And Similarity Measures Of Possibility Intuitionistic Fuzzy Hypersoft Sets” Metadata:

  • Title: ➤  Decision Making Algorithmic Techniques Based On Aggregation Operations And Similarity Measures Of Possibility Intuitionistic Fuzzy Hypersoft Sets
  • Author: ➤  
  • Language: English

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