On some multi-attribute decision models based on fuzzy techniques

Authors:
Dorin Lixandroiu
Affiliations:
Department of Management and Economic Informatics, Transilvania University of Brasov, Brasov, Romania
Venue:
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
Year:
2011

Citing 4
Cited 0

Fuzzy sets, fuzzy logic, applications

Fuzzy sets, fuzzy logic, applications
Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making

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Multi-person multi-attribute decision making models under intuitionistic fuzzy environment

Fuzzy Optimization and Decision Making
Intuitionistic Fuzzy Sets: Theory and Applications

Intuitionistic Fuzzy Sets: Theory and Applications

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Abstract

The concept of Fuzzy Set (FS) introduced by Zadeh (1965) was generalized by Atanasov (1986), who introduced the concept of Intuitionistic Fuzzy Set (IFS). Xu (2007a) defines several similarity measures between the elements of some IFS and applies them in developing a multi-attribute decision model. In (2007b), Xu presents a multi-attribute decision model with several decision-makers. Lixandroiu (2009) develops an algorithm for the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method proposed by Hwang (1981), modified for attributes values given under the form of IFS. In this paper, two models are developed starting from the diameter model (Andrasiu, 1986) based on the concepts of Fuzzy Set (FS) and Intuitionistic Fuzzy Set (IFS). A numerical example is also given.