Results 111 to 120 of about 9,960 (247)
, 2019 The structure of partial procedure (fuzzification, inference, defuzzification) for dosage control example on a segment, for example, when two rules are valid.
Peter Berk (6631100) +5 more
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Determining Importance of Ranges of MMPI Scales Using Fuzzification and Relevant Attribute Selection
International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2018 The paper presents an empirical study of the use of fuzzification and relevant feature selection to determination of the importance of particular ranges of MMPI scales. The importance is determined in terms of classification capabilities. MMPI (Minnesota
K. Pancerz +3 more
semanticscholar +1 more source
Framework of adaptive network-based fuzzy inference system.
, 2013 Layer 1: fuzzification layer; Layer 2: production layer; Layer 3: normalization layer; Layer 4: de-fuzzification layer; Layer 5: total output layer.
Ching-Feng Wen (414021) +6 more
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Fuzzy-rough Fuzzification in General FL Classifiers
International Joint Conference on Computational Intelligence, 2019 In this paper, a three-dimensional version of fuzzy-rough fuzzification is examined for classification tasks. Similar approach based on interval fuzzy-rough fuzzification has been demonstrated to classify with three decision labels of confidence, one of ...
Janusz T. Starczewski +2 more
semanticscholar +1 more source
Hybrid approach using fuzzy sets and extreme learning machine for classifying clinical datasets
Informatics in Medicine Unlocked, 2016 Data mining techniques play a major role in developing computer aided diagnosis systems and expert systems that will aid a physician in clinical decision making.
Kindie Biredagn Nahato +2 more
doaj +1 more source
Fuzzification Methods and Prediction Accuracy of Fuzzy Autocorrelation Model
, 2017 The fuzzy autocorrelation model is a fuzzified autoregressive (AR) model. The aim of the fuzzy autocorrelation model is to describe the possible states of the system with high accuracy.
null null, Yoshiyuki Yabuuchi
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On Interval-Valued Intuitionistic Fuzzy Hyper BCK-Ideals of Hyper BCK Algebras [PDF]
, 2014 In this paper, we apply the concept of an interval-valued intuitionistic fuzzy set to hyper BCK-ideals in hyper BCK-algebras. The notion of an interval-valued intuitionistic fuzzification of (strong, weak, s-weak) hyper BCK-ideals is introduced,
Prasad, R. +5 more
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On fuzzification of Tarski's fixed point theorem without transitivity
, 2017 The aim of this paper is to present a fuzzification of Tarski's fixed point theorem without the assumption of transitivity. For this purpose a new structure – the so called L-complete propelattice, which generalizes complete lattices and completely ...
Včelař, František +1 more
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Input space selective fuzzification in intuitionistic semi fuzzy-neural network
, 2016 In this paper, the influence of the selective fuzzification of the input space in Intuitionistic Semi-Fuzzy Neural Network (ISFNN) is investigated. The ISFNN represents a structure modification of the classical fuzzy-neural approach where selective ...
Olteanu, Marius +5 more
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Two approaches to fuzzification of payments in NTU coalitional game [PDF]
, 2002 There exist several possibilities of fuzzification of a coalitional game. It is quite usual to fuzzify, e.\,g., the concept of coalition, as it was done in [1]. Another possibility is to fuzzify the expected pay-offs, see [3,4]. The latter possibility
Mareš, Milan
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