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Applicant:
Central University of Tamil Nadu 
Author:
T.Miranda Lakshmi, A.Martin, V.Prasanna Venkatesan 
Corresponding Authors:
T.Miranda Lakshmi 
DOI #:
Not Applicable 
Title:
Design of Simplified Triangular Fuzzy Topsis: A Case Study on Supplier Selection 
Journal:
International Journal for Research in Applied Science & Engineering Technology (IJRASET) 
Year:
2017 
Volume:
Page:
2029 
Keywords:
Multi Criteria Decision Making (MCDM), Triangular Fuzzy TOPSIS, Normalization techniques, AHP, weight method, metric suite, evaluation techniques, MCDM comparative analysis 
Abstract:
Multi Criteria Decision Making (MCDM) techniques solve problems which involve multiple objectives under the presence of conflicting decision criteria. Among different MCDM techniques Triangular Fuzzy TOPSIS is widely applied in fuzzy environment. This work proposes a novel approach in Triangular Fuzzy TOPSIS by finding and applying better normalization technique, weight method and a Modified Fuzzy Relative Closeness Coefficient (MFRCC). It compares various normalization techniques and weight methods to find the better technique which improves the ranking efficiency of triangular fuzzy TOPSIS. In order to evaluate the proposed methodology, the metric such as sensitivity analysis, rank reversal, time complexity, space complexity, repeated ranking, rank occurrence and relative closeness efficiency are applied. It is applied in the supplier chain management to find the suitable supplier based on conflicting criteria. The adaptability of Triangular Fuzzy TOPSIS is validated using metrics with respect to supplier chain management. The proposed methodology attains better results compared with other methodologies.  
Entered by:
Martin Aruldoss on 2020-09-03 
 
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