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Group Decision Support under Intuitionistic Fuzzy Relations: The Role of Weak Transitivity and Consistency
Author(s) -
Pȩkala Barbara,
Szmidt Eulalia,
Kacprzyk Janusz
Publication year - 2018
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21923
Subject(s) - transitive relation , group decision making , consistency (knowledge bases) , ranking (information retrieval) , mathematics , property (philosophy) , preference relation , computer science , group (periodic table) , transitive closure , preference , fuzzy logic , artificial intelligence , theoretical computer science , discrete mathematics , combinatorics , social psychology , psychology , epistemology , statistics , chemistry , organic chemistry , philosophy
Human beings represent and process imperfect information in a natural way, whereas effective approaches are still being looked for in the area of soft computing. Atanassov's intuitionistic fuzzy sets and especially Atanassov's intuitionistic fuzzy relations are are tools that make it possible to model in an effective way imperfect information. In this paper, we discuss the transitivity problem of Atanassov's intuitionistic fuzzy relations. The transitivity property reflects the consistency of a preference relation. Therefore, transitivity is important from the point of view of real problems appearing, e.g., in group decision making, choice, and utility theories widely making use of the preference procedures. We study here in detail transitivity property of Atanassov's intuitionistic fuzzy relations and propose a new algorithm for generating weakly transitivity among the alternatives (options) considered. Next, making use of the new algorithm we propose a procedure of ranking of the alternatives in a group decision‐making problem.