Results 11 to 20 of about 17,247 (264)
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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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
Mehran Mazandarani, Xiu Li 0001
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Measurement + Control, 2020 The paper reports an adaptive-network-based fuzzy inference system for the measurement of axial strain using long-period fiber grating sensors. The long-period fiber grating sensor supports optical resonances, which are sensitive to the change of axial ...
Xingliu Hu +3 more
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Modeling and control of an unstable system using probabilistic fuzzy inference system
Archives of Control Sciences, 2015 A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model and minimizes the effects of statistical uncertainties.
Sozhamadevi N., Sathiyamoorthy S.
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CONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015 Image retrieval can be divided into two types context-based and the content-based. Image retrieval based on the content refers to the image features such as color, texture, shape, semantics or sensations.
Sukmawati Nur Endah +2 more
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Neuro-fuzzy control of sit-to-stand motion using head position tracking
Measurement + Control, 2020 Based on the clinical evidence that head position measured by the multisensory system contributes to motion control, this study suggests a biomechanical human-central nervous system modeling and control framework for sit-to-stand motion synthesis ...
Samina Rafique +3 more
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Classification of masses in digital mammograms using Biogeography-based optimization technique
Journal of King Saud University: Computer and Information Sciences, 2020 Breast cancer is a leading cause of death in women in both developed and developing countries. Design and development of computer-based systems can assist radiologists in the effective treatment of breast cancer.
Shankar Thawkar, Ranjana Ingolikar
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Frontiers in Neurorobotics, 2022 Fuzzy inference systems have been widely applied in robotic control. Previous studies proposed various methods to tune the fuzzy rules and the parameters of the membership functions (MFs).
Xinxing Chen +5 more
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Monotone Interval Fuzzy Inference Systems [PDF]
IEEE Transactions on Fuzzy Systems, 2019 In this paper, we introduce the notion of a monotone fuzzy partition , which is useful for constructing a monotone zero-order Takagi–Sugeno–Kang Fuzzy Inference System (ZOTSK-FIS). It is known that a monotone ZOTSK-FIS model can always be produced when a consistent, complete, and monotone fuzzy rule base is used.
Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim
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Z Number Based Fuzzy Inference System for Dynamic Plant Control
Advances in Fuzzy Systems, 2016 Frequently the reliabilities of the linguistic values of the variables in the rule base are becoming important in the modeling of fuzzy systems. Taking into consideration the reliability degree of the fuzzy values of variables of the rules the design of ...
Rahib H. Abiyev
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