A New Approach For the Ranking of Fuzzy Sets With Different Heights
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2012
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| _version_ | 1876449565118300160 |
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| author | Pushpinder Singh |
| author_facet | Pushpinder Singh |
| contents | A New Approach For the Ranking of Fuzzy Sets With Different Heights Pushpinder Singh Ingeniería Sets ranking function fuzzy sets with different heights Ranking of fuzzy sets plays an important role in decision making, optimization, forecasting, etc. Fuzzy sets must be ranked before an action is taken by a decision maker. Fuzzy sets with different heights are a generalization of the ordinary fuzzy sets. In this paper, with the help of several counterexamples, it is proved that the ranking method proposed by Lee and Chen (Expert Systems with Applications 34, 2008, 2763-2771) is incorrect. The main aim of this paper is to propose a new approach for the ranking of fuzzy sets with different heights. The main advantage of the proposed approach is that with it the correct ordering of fuzzy sets with different heights, and also the results of the proposed ranking method and the existing ranking method, can be compared. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47425142014 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.6 Vol.10 |
| format | Artículo científico |
| id | redalyc_47425142014 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | A New Approach For the Ranking of Fuzzy Sets With Different Heights Pushpinder Singh Ingeniería Sets ranking function fuzzy sets with different heights A New Approach For the Ranking of Fuzzy Sets With Different Heights Pushpinder Singh Ingeniería Sets ranking function fuzzy sets with different heights Ranking of fuzzy sets plays an important role in decision making, optimization, forecasting, etc. Fuzzy sets must be ranked before an action is taken by a decision maker. Fuzzy sets with different heights are a generalization of the ordinary fuzzy sets. In this paper, with the help of several counterexamples, it is proved that the ranking method proposed by Lee and Chen (Expert Systems with Applications 34, 2008, 2763-2771) is incorrect. The main aim of this paper is to propose a new approach for the ranking of fuzzy sets with different heights. The main advantage of the proposed approach is that with it the correct ordering of fuzzy sets with different heights, and also the results of the proposed ranking method and the existing ranking method, can be compared. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47425142014 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.6 Vol.10 |
| title | A New Approach For the Ranking of Fuzzy Sets With Different Heights |
| topic | Ingeniería Sets ranking function fuzzy sets with different heights |
| url | https://www.redalyc.org/articulo.oa?id=47425142014 |