TIN-DS/AHP: An Intelligent Method for Group Multiple Attribute Decision Making
نویسندگان
چکیده
The group decision-making problems with several experts and seriously different opinions are unable to be solved by current existing DS/AHP methods. In order to solve above problems, a derived model is constructed to recognize the optimal Basic Probability Assignment (BPA) functions from TIN knowledge matrices by introducing deviation variables. After that, a modified model and its corresponding modified theorems for improving TIN knowledge matrices are proposed to overcome matrix inconsistencies and provide expert group for defining discussed problem as well as guiding improvement direction. The intelligent decision making procedure is presented in terms of intelligent human-machine interaction and decision, and a comparative analysis with numerical values shows the proposed method is scientific, reasonable, and well applicable finally.
منابع مشابه
The Role of the DS/AHP in Identifying Inter-Group Alliances and Majority Rule Within Group Decision Making
DS/AHP is a nascent method of multi-criteria decision-making, based on the Dempster-Shafer theory of evidence and indirectly the Analytic Hierarchy Process. It is concerned with the identification of the levels of preference that decision makers have towards certain decision alternatives (DAs), through preference judgements made over a number of different criteria. The working result from a DS/...
متن کاملMultiple attribute group decision making with linguistic variables and complete unknown weight information
Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...
متن کاملA New Balancing and Ranking Method based on Hesitant Fuzzy Sets for Solving Decision-making Problems under Uncertainty
The purpose of this paper is to extend a new balancing and ranking method to handle uncertainty for a multiple attribute analysis under a hesitant fuzzy environment. The presented hesitant fuzzy balancing and ranking (HF-BR) method does not require attributes’ weights through the process of multiple attribute decision making (MADM) under hesitant conditions. For the rating of possible alternati...
متن کاملA Hybrid Multi-attribute Group Decision Making Method Based on Grey Linguistic 2-tuple
Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...
متن کاملDesigning a model of intuitionistic fuzzy VIKOR in multi-attribute group decision-making problems
Multiple attributes group decision making (MAGDM) is regarded as the process of determining the best feasible solution by a group of experts or decision makers according to the attributes that represent different effects. In assessing the performance of each alternative with respect to each attribute and the relative importance of the selected attributes, quantitative/qualitative evaluations ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013