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INCOMPLETE INTERVAL-VALUED HESITANT FUZZY PREFERENCE RELATIONS IN DECISION MAKING | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 8، دوره 15، شماره 6، بهمن و اسفند 2018، صفحه 107-120 اصل مقاله (465.72 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2018.4370 | ||
نویسندگان | ||
A. Khalid* 1؛ Ismat Beg2 | ||
1Lahore School of Economics, Centre for Mathematics and Statistical Sciences, Lahore, Paksitan | ||
2Centre for Mathematics and Statistical Sciences, Lahore School of Economics, Lahore, 54000, Pakistan | ||
چکیده | ||
In this article, we propose a method to deal with incomplete interval-valued hesitant fuzzy preference relations. For this purpose, an additive transitivity inspired technique for interval-valued hesitant fuzzy preference relations is formulated which assists in estimating missing preferences. First of all, we introduce a condition for decision makers providing incomplete information. Decision makers expressing incomplete data are expected to abide by the proposed condition. This ensures that the estimated preferences are well-defined intervals which otherwise may not be possible. Additionally, this condition eliminates the problem of outlying estimated preferences. After resolving the issue of incompleteness, this article proposes a ranking rule for reciprocal and non-reciprocal interval-valued hesitant fuzzy preference relations. | ||
کلیدواژهها | ||
Hesitant fuzzy preference relations؛ Incomplete preference relations؛ Decision making؛ Preference modeling | ||
مراجع | ||
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