4.7 Article

Aggregating information and ranking alternatives in decision making with intuitionistic multiplicative preference relations

Journal

APPLIED SOFT COMPUTING
Volume 22, Issue -, Pages 162-177

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2014.04.043

Keywords

Decision making; Intuitionistic multiplicative preference relation; Aggregation operators; Transformation function

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The intuitionistic multiplicative preference relation (IMPR), whose all elements are measured by an unsymmetrical scale ( Saaty's 1-9 scale) instead of the symmetrical scale in the intuitionistic fuzzy preference relation (IFPR), is suitable for describing the asymmetric preference information. In decision making process, one of the most crucial issues is how to rank alternatives from the given preference relation constructed by the decision maker. In this paper, two approaches are proposed for deriving the ranking orders of the alternatives from two different angles. To do it, a transformation mechanism is developed to transform an IMPR to a corresponding IFPR, and then all alternatives depicted by the given IMPR can be ranked via solving a familiar IFPR. In addition, the generalized intuitionistic multiplicative ordered weighted averaging ( GIMOWA) and the geometric (GIMOWG) operators are given by taking fully account of the different weights associated with the particular ordered positions and their desirable properties are also discussed. After that, through a practical example, the proposed approaches are compared with the previous work and a numerical analysis of the results is also given. (C) 2014 Elsevier B.V. All rights reserved.

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