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Fuzzy-rough membership functions [PDF]
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002 This paper generalizes the concepts of rough membership functions in pattern classification tasks to fuzzy-rough membership functions. Unlike the rough membership value of a pattern, which is sensitive only towards the rough uncertainty associated with the pattern, the fuzzy-rough membership value of the pattern signifies the rough uncertainty as well ...
M. Sarkar, B. Yegnanarayana
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Fuzzy BCI-subalgebras with interval-valued membership functions
International Journal of Mathematics and Mathematical Sciences, 2001 The purpose of this paper is to define the notion of an interval-valued fuzzy BCI-subalgebra (briefly, an i-v fuzzy BCI-subalgebra) of a BCI-algebra. Necessary and sufficient conditions for an i-v fuzzy set to be an i-v fuzzy BCI-subalgebra are stated. A
Sung Min Hong +3 more
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Opportunistic linked data querying through approximate membership metadata [PDF]
, 2015 Between URI dereferencing and the SPARQL protocol lies a largely unexplored axis of possible interfaces to Linked Data, each with its own combination of trade-offs.
BH Bloom +9 more
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Mathematical Biosciences and Engineering, 2022 In the paper, we propose the modified generalized neo-fuzzy system. It is designed to solve the pattern-image recognition task by working with data that are fed to the system in the image form.
Yevgeniy Bodyanskiy +3 more
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Frontiers in Plant Science, 2023 Arbuscular mycorrhizal fungi (AMF) play a key role in terrestrial ecosystems, while the ecological restoration application of AMF in mining areas has been progressively gaining attention.
Tong Jia +7 more
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Two new results about quantum exact learning [PDF]
, 2020 We present two new results about exact learning by quantum computers. First, we show how to exactly learn a $k$-Fourier-sparse $n$-bit Boolean function from $O(k^{1.5}(\log k)^2)$ uniform quantum examples for that function.
Arunachalam, Srinivasan +4 more
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ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE [PDF]
Journal of Process Management and New Technologies, 2015 In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the ...
Dhruba Das, Hemanta K. Baruah
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Fuzzy logic based on Belief and Disbelief membership functions
Fuzzy Information and Engineering, 2017 Many theories are developed based on probability to deal with incomplete information. The fuzzy logic deals with belief rather than likelihood (probability). Zadeh first defined fuzzy set as a single membership function.
Poli Venkata Subba Reddy
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Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems [PDF]
Revista Română de Informatică și Automatică, 2023 The aim of this work is to study the influence of the number of membership functions (MF) of fuzzy logic controller (FLC) on the temporal performances of dynamical systems.
Abdelhamid DJARI
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Axioms, 2019 The main ideas of F-transform came from representing expert rules. It would be therefore reasonable to expect that the more accurately the membership functions describe human reasoning, the more successful will be the corresponding F-transform formulas ...
Olga Kosheleva +2 more
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