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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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 +6 more
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ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers [PDF]
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
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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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Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms. [PDF]
BMC Med Inform Decis Mak, 2023 Yazdani A +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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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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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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A Neuro-Fuzzy Technique for the Modeling of β-Glucosidase Activity from Agaricus bisporus
BioChem, 2021 This paper proposes a neuro-fuzzy system to model β-glucosidase activity based on the reaction’s pH level and temperature. The developed fuzzy inference system includes two input variables (pH level and temperature) and one output (enzyme activity).
Huda Ansaf +2 more
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar [PDF]
Global Journal of Environmental Science and Management, 2023 BACKGROUND AND OBJECTIVES: The prediction models, response surface methodology and adaptive neuro-fuzzy inference system are utilized in this study. This study delves into the removal efficiency of reactive orange 16 using hydrochar derived from the ...
J. Oliver Paul Nayagam, K. Prasanna
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