Results 31 to 40 of about 7,859 (213)
Defuzzify Imprecise Numbers Using the Mellin Transform and the Trade-Off between the Mean and Spread
Algorithms, 2022 Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues.
Chin-Yi Chen, Jih-Jeng Huang
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Methods of evaluating maturity level of the organization based on fuzzy modeling
Advanced Engineering Research, 2017 Introduction. The authors’ method of the objective evaluation of the maturity level of the organization for obtaining sustainable success on the basis of self-assessment is described.
Lyudmila Viktorovna Borisova +2 more
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Symmetry, 2019 In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN) associated with assorted membership functions (MF) were explored, considering significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies ...
Avishek Chakraborty +6 more
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Uncertainty Avoider Interval Type II Defuzzification Method
Mathematical Problems in Engineering, 2020 One of the IT2FS (interval type-2 fuzzy system) defuzzification methods uses the iterative KM algorithm. Because of the iterative nature of KM-type reduction, it may be a computational bottleneck for the real-time applications of IT2FSs.
S. Aminifar
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Applied SciencesSince the 1960s, fuzzy logic has contributed to developing control systems based on modeling nonlinear problems using linguistic terms and inference rules.
J. Lima +3 more
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SEARCHING FOR MEANING ON DEFUZZIFICATION
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999 Defuzzification is an essential problem in fuzzy systems that it is always solved in a heuristic way. The aim of this work is to give a semantic interpretation to this process with the help of indistinguishability operators.
Recasens Ferrés, Jorge +2 more
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MathematicsIn this article, we present a novel methodology for inventory management in the pharmaceutical industry, considering the nature of its supply chain.
Kalaiarasi Kalaichelvan +4 more
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CONSISTENCY IMPROVEMENT METHOD FOR FUZZY PAIR-WISE COMPARISON MATRIX IN ANALYTIC HIERARCHY PROCESS [PDF]
Proceedings on Engineering SciencesMaintaining consistency is a crucial element in ensuring the reliability of pairwise comparisons provided by experts in the Analytic Hierarchy Process (AHP) and Fuzzy AHP.
L N P Kumar Rallabandi +1 more
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Defuzzification Index for Ranking of Fuzzy Numbers on the Basis of Geometric Mean
, 2020 The importance of fuzzy numbers to express uncertainty in certain applications, concerned with decision making, is observed in a large number of problems of different kinds. In Decision making problems, the best of available alternatives is chosen to the
N. Veerraju +2 more
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Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
Advanced Intelligent Systems, EarlyView.This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source