دانلود مقاله ISI انگلیسی شماره 25443
عنوان فارسی مقاله

# روش برنامه ریزی خطی فازی برای ساخت تصمیم چندویژگی با انواع متعددی از مقادیر مشخصه ها و اطلاعات وزن ناقص

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
25443 2013 16 صفحه PDF سفارش دهید 14021 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Fuzzy linear programming approach to multiattribute decision making with multiple types of attribute values and incomplete weight information
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Soft Computing, Volume 13, Issue 11, November 2013, Pages 4333–4348

کلمات کلیدی
تصمیم گیری چندویژگی - مجموعه های فازی - برنامه ریزی خطی امکان - بهینه سازی چند هدفه فازی - عدم قطعیت - حمایت از تصمیم گیری -
پیش نمایش مقاله

#### چکیده انگلیسی

In the classical Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), the decision maker (DM) gives the pair-wise comparisons of alternatives with crisp truth degree 0 or 1. However, in the real world, DM is not sure enough in all comparisons and can express his/her opinion with some fuzzy truth degree. Thus, DM's preferences are given through pair-wise comparisons of alternatives with fuzzy truth degrees, which may be represented as trapezoidal fuzzy numbers (TrFNs). Considered such fuzzy truth degrees, the aim of this paper is to develop a new fuzzy linear programming technique for solving multiattribute decision making (MADM) problems with multiple types of attribute values and incomplete weight information. In this method, TrFNs, real numbers, and intervals are used to represent the multiple types of decision information. The fuzzy consistency and inconsistency indices are defined as TrFNs due to the alternatives’ comparisons with fuzzy truth degrees. Hereby a new fuzzy linear programming model is constructed and solved by the possibility linear programming method with TrFNs developed in this paper. The fuzzy ideal solution (IS) and the attribute weights are then obtained. The distances of alternatives from the fuzzy IS can be calculated to determine their ranking order. The implementation process of the method proposed in this paper is illustrated with a strategy partner selection example. The comparison analyzes show that the method proposed in this paper generalizes the classical LINMAP, fuzzy LINMAP and possibility LINMAP.