A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling [PDF]
International Journal of Computational Intelligence Systems, 2010 This paper presents a survey of some fuzzy linguistic information access systems. The review shows information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools, which are based on tools of fuzzy linguistic ...
Enrique Herrera-Viedma
exaly +4 more sources
Robust missing data reconstruction in schizophrenia using tracking-removed autoencoder with fuzzy confidence integration [PDF]
Scientific ReportsNeural network models for outcome prediction play a pivotal role in neurological disease research, particularly for baseline risk assessment. Schizophrenia, a complex and relatively rare neuropsychiatric disorder, presents significant diagnostic ...
Moazzama Mateen, Ubaida Fatima
doaj +2 more sources
On Multi-granular Fuzzy Linguistic Modelling in Decision Making
Procedia Computer Science, 2015 AbstractNowadays, the human-computer interaction is being a hot topic. In such a way, several methods have been proposed to deal with multi-granularity when people with different knowledge level express their preferences on the same concept using linguistic notation, that is, words instead of numbers. This is a critical problem in group decision making
Raquel Ureña +2 more
exaly +3 more sources
Fuzzy engineering design semantics elaboration and application
Soft Computing Letters, 2021 Product design activities are predicated on fuzzy modelling, given that verbalising and interpreting engineering requirements are inherently fuzzy processes.
Alain-Jérôme Fougères, Egon Ostrosi
doaj +1 more source
Risk significance assessment on the basis of a fuzzy model [PDF]
E3S Web of Conferences, 2021 The paper considers the problem of risk significance assessment in the activity of a testing laboratory. The accreditation criteria of such laboratories include requirements for implementation of risk management in the organization of their activity.
Nurutdinova Inna, Dimitrova Luibov
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Extending COPRAS Method with Linguistic Fermatean Fuzzy Sets and Hamy Mean Operators
Journal of Mathematics, 2022 The utilization of linguistic variables is of vital importance for qualitative information processing in mathematical modelling and decision making under uncertainty.
Muhammad Akram, Naila Ramzan, Feng Feng
doaj +1 more source
Journal of Computing Research and Innovation, 2021 Natural rubber is one of the most important crops in Malaysia alongside palm oil, cocoa, paddy, and pineapple. Being a tropical country, Malaysia is one of the top five exporters and producers of rubber in the world.
Siti Nor Nadrah Muhamad +3 more
doaj +5 more sources
FUZZY-GENETIC CONTROL OF QUADROTOR UNMANNED AERIAL VEHICLES [PDF]
Interdisciplinary Description of Complex Systems, 2016 This article presents a novel fuzzy identification method for dynamic modelling of quadrotor unmanned aerial vehicles. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for ...
Attila Nemes
doaj +1 more source
Linguistic q-rung orthopair fuzzy prioritized aggregation operators based on Hamacher t-norm and t-conorm and their applications to multicriteria group decision making [PDF]
Archives of Control Sciences, 2022 The linguistic q-rung orthopair fuzzy (L q-ROF) set is an important implement in the research area in modelling vague decision information by incorporating the advantages of q- rung orthopair fuzzy sets and linguistic variables.
Nayana Deb, Arun Sarkar, Animesh Biswas
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A Consensus Model for Extended Comparative Linguistic Expressions with Symbolic Translation
Mathematics, 2020 Consensus Reaching Process (CRP) is a necessary process to achieve agreed solutions in group decision making (GDM) problems. Usually, these problems are defined in uncertain contexts, in which experts do not have a full and precise knowledge about all ...
Álvaro Labella +3 more
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