WebFuzzy Optimization and Decision Making, 6, 139-153. Google Scholar Digital Library; Xu, J., Liu, Q., & Wang, R. (2008). A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor. Information Sciences, 178, 2024-2043. Google Scholar Digital Library WebFuzzy Optimization and Decision Making is indexed by Scopus and has a CiteScore of 8.3 for 2024. h5 Index Rating Fuzzy Optimization and Decision Making has an h5-Index rating of 23 and an h5-Median of 36.
Fuzzy Logic - Decision Making - TutorialsPoint
WebMulti-person Decision Making. Decision making in this case includes several persons so that the expert knowledge from various persons is utilized to make decisions. Calculation for this can be given as follows −. Number of persons preferring x i to x j = N ( x i, x j) Total number of decision makers = n. Then, S C ( x i, x j) = N ( x i, x j) n. WebIn this paper, we study the group decision-making problem in which the preference information given by experts takes the form of uncertain additive linguistic preference relations. We define the concept of uncertain additive linguistic preference relation, and introduce a formula based on possibility measure for comparing two uncertain linguistic … red mens converse high tops
Consensus building with a group of decision makers under the …
WebNov 24, 2024 · Abstract. During the last decades, fuzzy optimization and fuzzy decision making have gained significant attention, aiming to provide robust solutions for problems in making decisions and achieving ... WebSep 1, 2015 · In related papers, authors made good use of Fuzzy optimization to deal with decentralized planning problems with multiple decision makers in a hierarchical organization. Hierarchical decision making process is extremely practical to such decentralized systems as agriculture, government policy, economic systems, finance, etc. WebDec 1, 2024 · A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optimization and Decision Making, 12(4), 373-392. Google Scholar Digital Library; Ramanathan, R., & Ganesh, L. S. (1994). Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weight ages. red mens cardigan