Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/1139Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | P. Anand Raj and, D. Nagesh Kumar | - |
| dc.date.accessioned | 2024-10-25T09:57:19Z | - |
| dc.date.available | 2024-10-25T09:57:19Z | - |
| dc.date.issued | 1999 | - |
| dc.identifier.citation | 10.1016/S0165-0114(97)00243-1 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1139 | - |
| dc.description.abstract | Ranking alternatives (both qualitative as well as quantitative) in a multicriterion environment, employing experts opinion (preference structure) using fuzzy numbers and linguistic variables, are presented in this paper. Fuzzy weights (#i) of alternatives (Ai) are computed using standard fuzzy arithmetic. Concept of maximizing set and minimizing set is introduced to decide total utility or ordering value of each of the alternatives. A numerical example is provided at the end to illustrate the method. | en_US |
| dc.description.sponsorship | NITW | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Science | en_US |
| dc.subject | Fuzzy numbers | en_US |
| dc.subject | Fuzzy weights | en_US |
| dc.subject | Minimizing set | en_US |
| dc.subject | Fuzzy order | en_US |
| dc.title | Ranking alternatives with fuzzy weights using maximizing set and minimizing set | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Civil Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0165011497002431-main.pdf | 601.36 kB | Adobe PDF | View/Open |
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