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Type-2 Fuzzy Logic in Multi-Criteria Group Decision Making with Intuitionistic Evaluation

Naim, S and Hagras, H (2011) Type-2 Fuzzy Logic in Multi-Criteria Group Decision Making with Intuitionistic Evaluation. In: Proceedings of the 2011 UK Workshop on Computational Intelligence, ? - ?.

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Abstract

In recent years, there have been a growing interest in developing Multi-Criteria Decision Making (MCDM) and Group Decision Making (GDM) using type-2 fuzzy sets and Intuitionistic Fuzzy Sets (IFSs) which provide frameworks to handle the encountered uncertainties in decision making models. Previous research has shown the power of type-2 fuzzy logic systems to handle the linguistic uncertainties. IFSs have been shown to provide a suitable framework for dealing with conflicting evaluation involving membership, non-membership and hesitation. In this paper, we propose a method focused on interval type-2 fuzzy logic Multi-Criteria Group Decision Making (MCGDM) system with intuitionistic evaluation. The intuitionistic evaluation in interval type-2 membership function has been derived in the proposed method which includes twelve steps for the aggregation and ranking of the preferences alternatives. The proposed method is expected to handle the linguistic uncertainties in MCGDM and give comprehensive evaluation for the membership values.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_ - Notes: Proceedings of the 2011 UK Workshop on Computaional Intelligence, University of Manchester 7-9 September 2011
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 14 Jan 2013 12:22
Last Modified: 17 Aug 2017 18:04
URI: http://repository.essex.ac.uk/id/eprint/4856

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