Abstract | ||
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Z-numbers, combined with “constraint” and “reliability”, has more power to express human knowledge. How to determine the ordering of Z-numbers and how to make a decision with Z-numbers are both meaningful and open issues. In this paper, a new notion of the total utility of Z-number is proposed to measure the total effects of a Z-number. The proposed total utility of Z-number can be used to determine the ordering of Z-numbers, and can also be simply applied in the application of multi-criteria decision making under uncertain environments. Two particular cases of Z-number (Gaussian and triangular), and some mathematical properties of the total utility of Z-number are discussed in this paper. Several applications and comparative analyses are shown to demonstrate the effectiveness of the proposed total utility of Z-number in the application of ordering Z-numbers and multi-criteria decision making. |
Year | DOI | Venue |
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2018 | https://doi.org/10.1007/s10489-017-1001-5 | Appl. Intell. |
Keywords | Field | DocType |
Z-number,Utility,Fuzzy number,Preference of Z-number,Decision making | Decision tree,Optimal decision,Computer science,Subjective expected utility,Gaussian,Human knowledge,Artificial intelligence,Z number,Fuzzy number,Decision-making,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 3 | 0924-669X |
Citations | PageRank | References |
5 | 0.41 | 39 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bingyi Kang | 1 | 138 | 9.24 |
Yong Deng | 2 | 1248 | 83.34 |
Rehan Sadiq | 3 | 364 | 30.26 |