Vague ranking of fuzzy numbers
| Autor: | F. Rezai Balf, M. Adabitabar Firozja, S. Firouzian |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Fuzzy classification media_common.quotation_subject 02 engineering and technology Type-2 fuzzy sets and systems computer.software_genre Fuzzy logic Defuzzification Ranking (information retrieval) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Fuzzy number Vague value Mathematics media_common business.industry lcsh:T57-57.97 lcsh:Mathematics Ambiguity Fuzzy numbers lcsh:QA1-939 lcsh:Applied mathematics. Quantitative methods Fuzzy set operations 020201 artificial intelligence & image processing Data mining Artificial intelligence Ranking business computer |
| Zdroj: | Mathematical Sciences, Vol 11, Iss 3, Pp 189-193 (2017) |
| ISSN: | 2251-7456 2008-1359 |
| DOI: | 10.1007/s40096-017-0213-5 |
| Popis: | In a lot of scientific models in the real world, we confront with comparing fuzzy numbers as decision-making procedures and etc. It will be interest, if we know that, comparison discuss is sometimes ambiguous. Hence, this article focus on ranking fuzzy numbers with protection ambiguity. Our idea for this work is based on this claim that ranking of two fuzzy numbers should be a vague value. However, we utilize the notion of max and min fuzzy simultaneously. |
| Databáze: | OpenAIRE |
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