Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/35562
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dc.contributor.authorRajak, A K-
dc.contributor.authorNiraj, M-
dc.contributor.authorKumar, S-
dc.date.accessioned2016-10-05T09:17:12Z-
dc.date.available2016-10-05T09:17:12Z-
dc.date.issued2016-10-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/35562-
dc.description604-608en_US
dc.description.abstractThis paper concerns with proposing a Fuzzy Inference System based expert system to breakthrough Multi Criteria Decision Making (MCDM) problem. Several approaches exist in the literature to objectively evaluate suppliers including fuzzy logic and total cost of the company. External purchase of products and services generally account for more savings can be realized by effectively selecting suppliers. In this study, we proposed a supplier selection analysis model considering Fuzzy Inference System technique is used for calculating the supplier ratings. The main objective of this study is to reduce procurement cost and develop closeness and long term relationship between buyer and suppliers in today’s competitive scenario.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.75(10) [October 2016]en_US
dc.subjectDecision Criteriaen_US
dc.subjectFuzzy Inference System (FIS)en_US
dc.subjectSupplier Selectionen_US
dc.titleDesigning of Multi Criteria Decision Making Heuristic Model Based on Fuzzy Inference System Approach for Evaluating Raking of the Alternativesen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.75(10) [October 2016]

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