| Autor: |
Rupjit Saikia, Harish Garg, Palash Dutta |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 3, Pp 473-487 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2455-7749 |
| DOI: |
10.33889/IJMEMS.2020.5.3.039 |
| Popis: |
Decision making under uncertainty is a crucial issue and most demanding area of research now a days. Intuitionistic hesitant fuzzy set plays important role in dealing with the circumstances in which decision makers judge an alternative with a collection membership grades and a collection of non-membership grades. This paper contributes a novel and advanced distance measure between Intuitionistic Hesitant fuzzy sets (IHFSs). A comparative analysis of the present distance measure with existing measures is performed first. Afterwards, a case study is carried in multi-criteria decision making problem to exhibit the applicability and rationality of the proposed distance measure. The advantage of the proposed distance measure over the existing distance measures is that in case of deficit number of elements in IHFs, a decision maker can evaluate distance measure without adding extra elements to make them equivalent and furthermore, it works in successfully in all the situations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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