[PDF] Top 20 Multi-criteria Group Decision Making with Picture Linguistic Numbers

... new linguistic computational model using an added parameter to each linguistic ...So, linguistic information is presented as a 2-tuple (s, α), where s is a linguistic term, and α is a numeric ... See full document

... fuzzy linguistic term set (HFLTS), which consists of several consecutive, ordered and finite linguistic terms on a given linguistic term set ...new linguistic aggregation operators for fusing ... See full document

... comprehensive decision aids for selection of suppliers are essential for the success of a manufacturing ...fuzzy multi-criteria group decision making algorithm based on the ... See full document

... the decision makers express their preferences in pure numeric scales the subjectivity and imprecision associated with perceptions are lost by forcing the decision makers to use numeric ...result ... See full document

... selection criteria, which are considered to evaluate washing liquid that meets the needs of both customers and ...fuzzy multi-criteria group decision making approach based on ... See full document

... Most of the real life problems are complex in nature because of the indistinctness and impreciseness of the available data. In 1970 Bellman and Zadeh proposed the concept of fuzzy sets and fuzzy models to effectively ... See full document

... for Group Decision Making in fuzzy atmosphere ...fuzzy numbers and after defuzzification, alternatives were ranked ...fuzzy numbers (TFNs) were assigned to each linguistic ... See full document

... novel decision-making approach with interval computations is ...by linguistic variables or numerical values ...multiple criteria under uncertainty. The approach allows each expert or ... See full document

... Abstract: Multi-Criteria rough interval group decision making is relatively a recent branch of multi -criteria decision ...Interval Multi-Objective ... See full document

... the decision makers used different layout and descriptions to express their preferences or choices for each alternative in a group decision making problem (Xu, 2008; Massanet et ...interval ... See full document

... rough numbers in dealing with uncertainty when determining weight coefficients of decision ...different Multi-Criteria Decision Making (MCDM) methods with rough interval; Rough ... See full document

... on multi attribute decision making with trapezoidal fuzzy neutrosophic ...diagnosis. Decision making based on some similarity measures under interval rough neutrosophic environment has ... See full document

... of decision criteria with hesitant and uncertain information has always been an important issue for researchers in MCGDM ...of decision makers (DMs), nature of considered alternatives and ... See full document

... conflicting criteria incorporating vagueness and imprecision with the involvement of a group of ...fuzzy multi-criteria group decision making approach integrating 2-tuple ... See full document

... fuzzy linguistic variables - Very Low (VL), Low (L), Medium Low (ML), Medium (M), Medium High (MH), High (H) and Very High ...fuzzy numbers, triangular and trapezoidal fuzzy numbers are likely to be ... See full document

... the last 30 years. Brynjolfsson [5] [6] and Brynjolfsson and Hitt [7] analyzed the attributes and the reasons for such phenomenon. Evidence showed that investment in ICT sometimes leads organizations in wrong directions. ... See full document

... the multi-voting system, the pair-wise analysis, the weighted criteria analysis, the dot voting tech- nique, and the Quality Functional Deployment ...of decision maker is ...in decision ... See full document

... Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an ... See full document

... the criteria weights, “Cognition” was considered the most important criterion in the assessment by most participants, whereas “Hypercholesterolemia” was rated to be of lowest ...frailty criteria with ... See full document

... solve decision making problem. Initially the fuzzy numbers with triangular membership functions was used to describe the fuzzy comparing judgment (Van Laarhoven and Pedrycz ,1983) but later on the ... See full document