A Decision Making Approach for Finding Cause of Disease Under Hesitant Fuzzy Environment
| Autor: | Palash Dutta, Rupjit Saikia |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science 05 social sciences Usability 02 engineering and technology Disease Fuzzy logic Task (project management) Risk analysis (engineering) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Fuzzy number 020201 artificial intelligence & image processing Medical science business 050203 business & management |
| Zdroj: | Recent Advances in Intelligent Information Systems and Applied Mathematics ISBN: 9783030341510 ICITAM |
| Popis: | In medical science it is said that prevention is better than cure. Nowadays, medical science has been developed in such a way that almost all of the disease are becoming near to curable. Though, we should prevent the diseases by knowing the exact reason for disease. But, to find the exact reasons for any disease are a critical task and the cause may vary person to person. In this paper we are trying to develop a methodology using hesitant triangular fuzzy number to detect cause for diseases. In this paper, a new concept of expected value for hesitant triangular fuzzy number has been developed. Also, a numerical example has been worked out to show the usability of the methodology. |
| Databáze: | OpenAIRE |
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