Decision-making in fuzzy environment

By Chitrasen Samantra. 2012

6,278 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/64c1064a50a10f651a02d17faa714baf12dba488

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Citations in the corpus

An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment (2011, methodology): “Since Zadeh [69] introduced fuzzy set theory, and Bellman and Zadeh [70] described the decision making method in fuzzy environments , an increasing number of studies have dealt with uncertain fuzzy problems by applying fuzzy set theory [71] [72].”
Transfer learning using computational intelligence: A survey (2015, background): “Zadeh [89] introduced the concept of fuzzy sets which he later expanded on by introducing further aspects of Fuzzy Logic, including fuzzy rules in [90].”
Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea (2011, unknown): “Bellman and Zadeh (1970) were the first”
A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context (2015, background): “To overcome this problem, one can apply a possibility approach formulated in terms of fuzzy set theory proposed by Zadeh [65].”
A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making (2016, methodology): “(1) If s(β1) < s(β2), then β1≺sβ2, (2) If s(β1) > s(β2), then β1 sβ2, and (3) If s(β1) = s(β2), then β1∼sβ2.”
State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems (2017, methodology): “Commonly used a posteriori approaches include (but not limited to) εconstraint (Chankong and Haimes 1983; Haimes et al. 1971), fuzzy optimisation (Bellman and Zadeh 1970; Zimmermann 1978) and evolutionary multi-objective algorithms (EMOAs).”
Relationship between freight accessibility and logistics employment in US counties (2013, background): “This disadvantage can be overcome by making use of fuzzy decision making, which is based on boundaries that are not sharply defined (e.g., Bellman and Zadeh, 1970).”
Fuzzy Inventory Model without Shortage Using Trapezoidal Fuzzy Number with Sensitivity Analysis (2012, background): “One of them is the amount of money tied in inventory.”
Possibility linear programming with trapezoidal fuzzy numbers (2014, background): “In the transportation problems, sometimes the unit cost of transportation may be expressed by fuzzy number [1] other than the real number because of the influence by the various subjective and objective factors.”
Selecting suppliers using a new fuzzy multiple criteria decision model: the fuzzy balancing and ranking method (2010, methodology): “A more realistic approach may be to use linguistic assessments instead of numerical values, that is, to suppose that the ratings of the alternatives by decision makers under criteria in the problem are assessed by means of linguistic variables (Bellman and Zadeh 1970 , Delgado et al.”