Fractional Fuzzy Inference System: The New Generation of Fuzzy Inference Systems [PDF]
IEEE Access, 2020 This paper presents a new machinery of compositional rule of inference called fractional fuzzy inference system (FFIS). An FFIS is a fuzzy inference system (FIS) in which consequent parts of a rule base consist of a new type of membership functions ...
Mehran Mazandarani, Xiu Li
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FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES [PDF]
Scientific Journal of Astana IT University, 2020 Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences from other popular fuzzy systems ...
R. Ponomarenko, A. Dyka
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Interval type-2 fractional fuzzy inference systems: Towards an evolution in fuzzy inference systems
Expert Systems With Applications, 2022 Abstract Following type-1 fractional fuzzy inference systems presented recently as the new generation of fuzzy inference systems, interval type-2 fractional fuzzy inference systems (IT2FFISs) as a leap further ahead in the evolution of fuzzy inference systems (FISs) are introduced in this article. The IT2FFISs, which are outlined in this article, add
Xiu Li, Mehran Mazandarani
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Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems. [PDF]
PLoS ONEAccuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada +7 more
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MISO intuitionistic fuzzy inference system [PDF]
Journal of Fuzzy Extension and ApplicationsFuzzy Inference Systems (FIS) are widely used for decision-making through imprecise relation defined on qualitative imprecise inputs and outputs based on expert’s knowledge via fuzzy numbers. Even the fuzzy relation is based on the expert’s knowledge, it
Lakshmana Nayagam Velu, Daniel Paulraj
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Mamdani vs. Takagi–Sugeno Fuzzy Inference Systems in the Calibration of Continuous-Time Car-Following Models [PDF]
Sensors, 2023 Dan Pescaru +2 more
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Generalized models of a production system of fuzzy conclusion [PDF]
E3S Web of Conferences, 2023 The aim of the research is to study the models, rules, and fuzzy inference engines, which occupy the main place in the knowledgebase, and models of the logic inference engines and simulation modeling, focused on supporting the adoption of semi-structured
Ziyadullaev Davron +4 more
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Interval Type-3 Fuzzy Inference System Design for Medical Classification Using Genetic Algorithms
Axioms, 2023 An essential aspect of healthcare is receiving an appropriate and opportune disease diagnosis. In recent years, there has been enormous progress in combining artificial intelligence to help professionals perform these tasks. The design of interval Type-3
Patricia Melin +2 more
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Data analysis using system modeling [PDF]
E3S Web of Conferences, 2023 Expert systems are increasingly being used to format safe operations. But the functions of expert systems can perform not only assistance in making decisions, but also analyze processes and help at various stages.
Ganzhur Marina +4 more
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A fuzzy inference system for the identification [PDF]
IEEE Latin America Transactions, 2015 7 Pages, in ...
José de Jesús Rubio +4 more
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