Since 2014
An Improved Fuzzy-based ELECTRE I Method for Supplier Selection
International Journal of Operations and Logistics Management
View Archive Info| Field | Value | |
| Title |
An Improved Fuzzy-based ELECTRE I Method for Supplier Selection
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| Creator |
Sarbijan, Morteza Salehi
Markabi, Mohsen Sayyah Seifi, Mehde |
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| Subject |
Decision Making, ELECTRE I, Supplier Ranking, Fuzzy set Theory, Uncertainty
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| Description |
All the decision processes in relation to evaluation and ranking of the options have their own importance according to their performances. Option evaluation is a concept relatively dependent on the people in charge of decision and their knowledge, in a way that it would increase the level of uncertainty in decision processes. In addition, all the proposed methods, in order to have the knowledge of the experts for evaluation and assessments of the options, use the supporting expert decision systems which could provide a logical answer to such need. The first step of a decision process is assessment of the options and in the second step the options would be ranked according to their performance obtained from the results of the first step. ELECTRE 1 is one of the practical methods in ranking of the options in the real world such as ranking the providers or contractors. Due to this method's weakness in precise and efficient ranking of the options, in this paper a new enhanced ELECTRE 1 method based on phase theory is presented to improve the mentioned drawbacks and ambiguities. The ability of this method, in comparison to TOPSIS is also demonstrated by numerical examples.
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| Publisher |
Academy of Business & Scientific Research
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| Contributor |
—
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| Date |
2014-12-02
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://absronline.org/journals/index.php/ijolm/article/view/380
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| Source |
International Journal of Operations and Logistics Management; Vol 3, No 4 (2014): December; 387-398
2309-8023 2310-4945 |
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| Language |
eng
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| Relation |
http://absronline.org/journals/index.php/ijolm/article/view/380/398
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| Rights |
Copyright (c) 2014 International Journal of Operations and Logistics Management
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