A Ranking Approach for Intuitionistic Fuzzy Numbers and its Application
| Autor: | Manjot Kaur, Ajay Kumar |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
General Engineering Rework Intuitionistic fuzzy rework manufacturing system algebraic approach computer.software_genre Manufacturing systems Ranking imperfect EPQ model replenishment lot size discontinuous issuing policy Minimum-cost flow problem Data mining computer Mathematics |
| Zdroj: | Journal of Applied Research and Technology. 11(3):381-396 |
| ISSN: | 1665-6423 |
| DOI: | 10.1016/s1665-6423(13)71548-7 |
| Popis: | To the best of our knowledge very few methods have been proposed in previous studies for comparing intuitionistic fuzzy (IF) numbers. In this paper, the limitations and the shortcomings of all these existing methods are pointed out. In order to overcome these limitations and shortcomings a new ranking approach—by modifying an existing ranking approach—is proposed for comparing IF numbers. Thus, with the help of proposed the ranking approach, a new method is proposed to find the optimal solution of such unbalanced minimum cost flow (MCF) problems in which all the parameters are represented by IF numbers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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