Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best–Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection
| Autor: | Ashkan Hafezalkotob, Francisco Herrera, Huchang Liao, Arian Hafezalkotob |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
TOPSIS 02 engineering and technology Spearman's rank correlation coefficient Computer Science Applications Group decision-making Interval arithmetic Weighting Human-Computer Interaction 020901 industrial engineering & automation Control and Systems Engineering Statistics 0202 electrical engineering electronic engineering information engineering Entropy (information theory) Cybernetics 020201 artificial intelligence & image processing Electrical and Electronic Engineering Engineering design process Software Information Systems Mathematics |
| Zdroj: | IEEE Transactions on Cybernetics. 50:1157-1169 |
| ISSN: | 2168-2275 2168-2267 |
| DOI: | 10.1109/tcyb.2018.2889730 |
| Popis: | In this paper, we present an interval MULTIMOORA method with complete interval computation in which the interval distances of interval numbers and preference matrix are used. In addition, we propose a group interval best-worst method (BWM) with interval preference degree. The group interval BWM has a hierarchical structure of group decision making with two levels of experts. Beside employing the dominance theory to integrate subordinate rankings, we introduce the interval Borda rule as an aggregation function which does not have the defects of the dominance theory. We calculate the objective interval weights of criteria based on the interval entropy method, which are integrated by the subjective weights computed by the group interval BWM. The approach presented in this paper is verified by a real-world engineering selection problem of a hybrid vehicle engine based on real data and opinions of engineering design experts of the automotive industry of Iran. The preference-based and dominance-based ranking lists are presented for the problem. We solve the same case by employing the interval TOPSIS and VIKOR methods. Eventually, all resultant rankings are compared based on Spearman rank correlation coefficients. |
| Databáze: | OpenAIRE |
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