Group decision making using interval-valued intuitionistic fuzzy soft matrix and confident weight of experts

• Autorzy: Das S. , Kar S. , Pal T.

Identyfikatory

DOI

10.2478/jaiscr-2014-0025

• Języki publikacji: EN

Abstrakty

EN

This article proposes an algorithmic approach for multiple attribute group decision making (MAGDM) problems using interval-valued intuitionistic fuzzy soft matrix (IVIFSM) and confident weight of experts. We propose a novel concept for assigning confident weights to the experts based on cardinals of interval-valued intuitionistic fuzzy soft sets (IVIFSSs). The confident weight is assigned to each of the experts based on their preferred attributes and opinions, which reduces the chances of biasness. Instead of using medical knowledgebase, the proposed algorithm mainly relies on the set of attributes preferred by the group of experts. To make the set of preferred attributes more important, we use combined choice matrix, which is combined with the individual IVIFSM to produce the corresponding product IVIFSM. This article uses IVIFSMs for representing the experts’ opinions. IVIFSM is the matrix representation of IVIFSS and IVIFSS is a natural combination of interval-valued intuitionistic fuzzy set (IVIFS) and soft set. Finally, the performance of the proposed algorithm is validated using a case study from real life.

Słowa kluczowe

EN

multiple attribute group decision making; MAGDM; interval-valued intuitionistic fuzzy soft matrix; IVIFSM; interval-valued intuitionistic fuzzy soft sets; IVIFSSs

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2014
• Tom: Vol. 4, No. 1
• Strony: 57--77
• Opis fizyczny: Bibliogr. 36 poz., rys.

Twórcy

autor

Das S.

• Department of Computer Science and Engineering, Dr. B. C. Roy Engineering College, Durgapur-6, India

autor

Kar S.

• Department of Mathematics, National Institute of Technology, Durgapur-9, India

autor

Pal T.

• Department of Computer Science and Engineering, National Institute of Technology, Durgapur-9, India

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