Uncertainty in the Conjunctive Approach to Fuzzy Inference [PDF]
International Journal of Applied Mathematics and Computer Science, 2021 Fuzzy inference using the conjunctive approach is very popular in many practical applications. It is intuitive for engineers, simple to understand, and characterized by the lowest computational complexity.
Kudłacik Przemysław
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A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making
IEEE Access, 2020 Context and Background:Complex fuzzy theory has a strong practical implication in many real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to overcome the challenges of uncertain, periodic data.
Luong Thi Hong Lan +2 more
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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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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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Developing a Robust Fuzzy Inference Algorithm in a Dog Disease Pre-Diagnosis System for Casual Owners [PDF]
AnimalsWhile the pet market is continuously rapidly increasing in Korea, pet dog owners feel uncomfortable in coping with pet dog’s health problems in time.
Kwang Baek Kim +2 more
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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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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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Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
IET Communications, 2021 The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter.
Hala B. Nafea +2 more
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Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the material in the system. However, material learning alone is less effective,
Istiadi Istiadi +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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