An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function

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2013
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Abstract
This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by IVIFS value and the information about criterion weights is known. We apply the proposed score function to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. Finally, two illustrative examples for multicriteria fuzzy decision-making problems of alternatives are used as a demonstration of the applications and the effectiveness of the proposed decision-making method.
Reference Key
bai2013anthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bai, Zhi-yong;
Journal the scientific world journal
Year 2013
DOI DOI not found
URL
http://dx.doi.org/10.1155/2013/879089
Keywords
Medicine Engineering (General). Civil engineering (General) Technology Science environmental effects of industries and plants renewable energy sources environmental sciences food processing and manufacture applied optics. photonics electronic computers. computer science industrial engineering. management engineering environmental technology. sanitary engineering production management. operations management

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