The preference order of fuzzy numbers

L. H. Chen, H. W. Lu

研究成果: Article同行評審

55 引文 斯高帕斯(Scopus)


Many fuzzy number ranking approaches are developed in the literature for multiattribute decision-making problems. Almost all of the existing approaches focus on quantity measurement of fuzzy numbers for ranking purpose. In this paper, we consider the ranking process to determine a decision-maker's preference order of fuzzy numbers. A new ranking index is proposed to not only take quantity measurement, but incorporate quality factor into consideration for the need of general decision-making problems. For measuring quantity, several α-cuts of fuzzy numbers are used. A signal/noise ratio is defined to evaluate quality of a fuzzy number. This ratio considers the middle-point and spread of each α-cut of fuzzy numbers as the signal and noise, respectively. A fuzzy number with the stronger signal and the weaker noise is considered better. Moreover, the associated α levels are treated as the degree of belief about the α-cut and used as weights in the index for strengthening the influence of α-cut with higher α levels. The membership functions of fuzzy numbers are not necessarily to be known beforehand while applying this index. Only a few left and right boundary values of α-cuts of fuzzy numbers are required. We have proved the feature of the proposed index in a particular case. Several examples are also used to illustrate the feature and applicability in ranking fuzzy numbers.

頁(從 - 到)1455-1465
期刊Computers and Mathematics with Applications
出版狀態Published - 2002

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 計算機理論與數學
  • 計算數學


深入研究「The preference order of fuzzy numbers」主題。共同形成了獨特的指紋。