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Issue:Selection of vendor based on intuitionistic fuzzy linguistic hedges

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Title of paper: Selection of vendor based on intuitionistic fuzzy linguistic hedges
Prabjot Kaur
Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, India
Madhumita Pal
Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, India
Published in: "Notes on IFS", Volume 21, 2015, Number 4, pages 69–75
Download:  PDF (110  Kb, Info)
Abstract: Vendor selection problem is selection of a suitable vendor that performs optimally on various desired dimensions such as cost, quality, delivery and service. Individual vendors may have different performance characteristics for different dimensions, so selection of a suitable vendor is a tedious task with so many complex factors used for evaluation. In this paper we propose selection of vendor based on linguistic hedges under intuitionistic fuzzy environment. We propose intuitionistic fuzzy sets (IFS) to represent the data dimensions of various vendors and intuitionistic fuzzy hedges to modify the various dimensions to approximate values. Also hedges are compatible with IFS and IFS help decision makers to describe and character the fuzzy sets with another parameter called non-membership function. The above process ensures that vendors are carefully and systematically evaluated and are satisfactory suppliers. A numerical example illustrates our proposed methodology.
Keywords: Intuitionistic fuzzy set, Linguistic hedge.
AMS Classification: 03E72.
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