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Intuitionistic fuzzy theory is an excellent tool to represent uncertainty and vagueness in fuzzy multi criteria decision making problems. When intuitionistic fuzzy numbers are used to express fuzzy information, they need to compare with each other to indicate the relative importance or priority. This paper reviews an existed method of ranking two intuitionistic fuzzy numbers, and further defines another...
Evaluating and selecting alternatives from available alternatives with respect to multiple, often conflicting criteria in a group decision making setting is complex and challenging due to the risk associated with the uncertainty and imprecision existent in the human decision making process. To effectively solve this problem, this paper proposes a risk-oriented group decision making approach for adequately...
The effective management of uncertainty is one of the most fundamental problems in decision making. Currently, most decision models rely on point estimates for input parameters, although the uncertainty surrounding these values is well-recognized. This study reviewed the problems that are commonly involved in computational problems involving expert's epistemic uncertainty. In order to transfer the...
Multiple-attribute decision analysis (MADA) problem consists of both quantitative data and qualitative information with subjective judgments of ambiguity. The evidential reasoning (ER) approach is well-suited for dealing with such MADA problems and can generate comprehensive distributed assessments for different alternatives. In the ER approach, many types of uncertainties could be considered such...
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