This paper first presents a brief survey of the existing works on comparing and ranking any two interval numbers and then, on the basis of this, gives the inclusion measure approach to compare any two interval numbers. The monotonic inclusion measure is defined over the strict partial order set proposed by Moore and illustrate that the possibility degrees in the literature are monotonie inclusion measures defined in this paper; Then a series of monotonic inclusion measures are constructed based on t-norms. Finally, we give illustrations by using the monotonic inclusion measures and gain good results. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Zhang, H. Y., & Su, Y. J. (2007). A ranking approach with inclusion measure in multiple-attribute interval-valued decision making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4482 LNAI, pp. 411–418). Springer Verlag. https://doi.org/10.1007/978-3-540-72530-5_49
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