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CHOQUET AGGREGATION BASED DECISION MAKING UNDER Z-INFORMATION

Journal: ICTACT Journal on Soft Computing (IJSC) (Vol.4, No. 4)

Publication Date:

Authors : ;

Page : 819-824

Keywords : Z-Number; Fuzzy Set; Choquet Integral; Lower Prevision; Decision Making;

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Abstract

The concept of decision making under uncertainty is usually associated with information that may be incomplete, not reliable or imprecise, so there are several types of uncertainty. A partial absence of beliefs and fuzziness are some of the aspects of uncertainty. In this paper we consider a somewhat different framework for representing our knowledge. Zadeh suggested a Z-number notion, based on a reliability of the given information. In this study we apply Z- information to decision making in business problem and suggest the framework for decision making on a base of Z-numbers. The method associates with the construction of a non-additive measure as a lower prevision and uses this capacity in Choquet integral for constructing a utility function. An example of real-world business problem is used to illustrate the proposed approach.

Last modified: 2014-09-02 13:54:03