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Fuzzy set theory
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Ebook "Fuzzy classification of online customers" introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory and the combination of relational databases and fuzzy classification.
148p
giangdongdinh
30-05-2024
4
2
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Ebook "Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail" provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems.
245p
dongmelo
26-05-2024
3
2
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A study of the state of the theory of fuzzy sets shows that until recently in Russia there were almost no studies in the chemical sector of the economy and finance using fuzzy analysis and forecasting, although by that time all necessary prerequisites for modeling financial systems had been created. The current situation in Russia is characterized by a high degree of science lagging behind the requests of state and commercial supply chain management.
6p
longtimenosee10
26-04-2024
2
1
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Continued part 1, part 2 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: very large-scale neighborhood search; constraint programming; multi-objective optimization; sharpened and focused no free lunch and complexity theory; machine learning; fuzzy reasoning; rough-set-based decision support; hyper-heuristics; approximations and randomization; fitness landscapes;...
371p
thamnhuocgiai
24-09-2023
6
5
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In this paper, a fuzzy finite element method (FFEM) for determining the responses of structures is proposed by using the transformation between fuzzy and random variables. Firstly, the formulae for establishing normal random variables equivalent to symmetric triangular fuzzy numbers are presented based on the combination of the principle of insufficient reason and that of maximum specificity.
6p
vimalfoy
08-02-2023
7
3
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The thesis is structured as follows: Chapter 1 introduction; chapter 2 a review of fuzzy multicriteria analysis approaches; chapter 3 problem formulation and developments; chapter 4 pairwise comparison based multicriteria decision making under uncertainty; chapter 5 effective decision support for fuzzy multicriteria group decision making; chapter 6 a consensus based approach for multicriteria group decision making; chapter 7 risk-oriented decision making for multicriteria group decision making under uncertainty; chapter 8 hospital location evaluation and selection under uncertainty; chapter...
232p
runthenight04
02-02-2023
5
2
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This paper investigates the issues of under-treatment and uncertainty condition of acute asthma cases in ED. A novel approach, known as the fuzzy logic principle is employed to determine the severity of acute asthma. The fuzzy set theory, known as Fuzzy Rule-based Expert System for Asthma Severity (FRESAS) determination is embedded into the expert system (ES) to assess the severity of asthma among patients in ED.
24p
spiritedaway36
28-11-2021
12
1
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Research objectives of the thesis: Research the theories of complex fuzzy sets, complex fuzzy logic and measures based on complex fuzzy sets; research and development of fuzzy inference system based on complex fuzzy sets; research applied techniques to reduce rules, optimize fuzzy rules in complex fuzzy inference system; research on how to represent rules based on fuzzy knowledge graphs to reduce inference computation time for the test set and deal with the cases where the new dataset is not present in the training data set.
27p
beloveinhouse01
15-08-2021
15
4
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This paper will briefly introduce the general structure of a fuzzy control system, design and simulation the automatic temperature control system of resistance oven using Matlab & Simulink. The result showed that the system archives ver quick response on the variation of set-point.
4p
chauchaungayxua11
23-03-2021
20
2
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Fuzzy set theory and fuzzy logic are highly suitable mathematical tools for developing intelligent systems in medicine. This paper presents a fuzzy expert system based on positive rules for diagnosing depression types.
7p
viguam2711
11-01-2021
17
2
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The paper depicts complete study about the second method with some proposed algorithms. It focuses mainly on binary classification with kNN and SVM for imbalanced data. Experiments and comparisons among related methods will confirm pros and coin of each method with respect to performance accuracy and time consumption.
20p
viguam2711
11-01-2021
10
2
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The purpose of this paper is to analyze Enterprise Resource Planning (ERP) implementation process for Small and Medium Enterprises (SMEs) in India to identify the key enablers.
12p
kelseynguyen
26-05-2020
33
1
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Picture fuzzy set (2013) is a generalization of the Zadeh’ fuzzy set (1965) and the Antanassov’ intuitionistic fuzzy set. The new concept could be useful for many computational intelligent problems. Basic operators of the picture fuzzy logic were studied by Cuong, Ngan [10, 11]. New concept –Pythagorean picture fuzzy set (PPFS) is a combination of Picture fuzzy set with the Yager’s Pythagorean fuzzy set [12, 13, 14]. First, in the Part 1 of this paper, we consider basic notions on PPFS as set operators of PPFS’s, Pythagorean picture relation, Pythagorean picture fuzzy soft set.
11p
12120609
23-03-2020
41
2
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In addition to traditional exploiting information methods, researchers have developed attribute reduction methods to reduce the size of the data space and eliminate irrelevant attributes. Our attribute reduction is based on the dependence between attributes in traditional rough set theory and in fuzzy rough set. The author built the tool which is inclusion degree and tolerance-based contingency table to solve the problem of finding the approximation set on set-valued information systems.
7p
mangamanga
29-02-2020
25
0
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In this paper, we introduce a hedge-algebras-based methodology in vibration control of structural systems to design fuzzy controllers, referred to as hedge-algebras-based controllers (HACs). In this methodology, vague linguistic terms are not expressed by fuzzy sets, but by inherent order relationships between vague terms existing in a term-domain. Semantically quantifying mappings (SQMs), which preserve semantics-based order relationships in termdomains, are defined in a close relationship with the fuzziness measure and the fuzziness intervals of vague terms.
30p
ketaucho
20-11-2019
25
3
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This paper answers that question by presenting a fuzzy rule based classifier design method based on hedge algebras with a pure hedge algebras classification reasoning method. The experimental results over 17 real world datasets are compared to the existing methods based on hedge algebras and fuzzy sets theory showing that the proposed method is effective and produces good results.
14p
vidonut2711
08-11-2019
16
1
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In this paper, we first introduce the notion of linguistic intuitionistic fuzzy relation. This notion is useful in situations when each correspondence of objects is presented as two labels such that the first expresses the degree of membership, and the second expresses the degree of non-membership as in the intuitionistic fuzzy theory.
9p
vixyliton2711
17-04-2019
22
1
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We introduce and study the notion of C–closed sets in L–fuzzy topological spaces. Then, C–convergence theory for nets and ideals is established in terms of C–closedness. Finally, we give a new concept of C–continuity on L–fuzzy topological space by means of L–fuzzy C–closedness and investigate some of its properties and its relationships with other L–fuzzy mappings introduced previously. Then we systematically study the characterizations of this notion with the aid of the C–convergence of L–fuzzy nets and L–fuzzy ideals.
17p
tuongvidanh
06-01-2019
29
2
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A significant issue of the supply chain problem is how to integrate different entities. Managing supply chain is a difficult task because of complex integrations, especially when the products are perishable in nature. Little attention has been paid on ordering specific perishable products jointly in uncertain environment with multiple sources and multiple destinations.
14p
vinguyentuongdanh
19-12-2018
32
0
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This paper proposes a modeling framework that attempts to account for the decision maker’s uncertainty by possibility theory and then the analyst's uncertainty by probability theory. The possibility to probability transformation is performed using the principle of uncertainty invariance. The proposed approach accounts for the quality of information on the changes in choice probability. The paper discusses the thought process, mathematics of possibility theory and probability transformation, and examples.
17p
vinguyentuongdanh
20-12-2018
32
2
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