Fuzzy sets

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  • Để nâng cao hiệu quả của các công trình thuỷ lợi cần phải đánh giá hiệu quả tưới của hệ thống thủy lợi được quản lý bằng các mô hình quản lý khác nhau, tìm ra các điểm mạnh, điểm yếu, từ đó đề xuất các giải pháp hoàn thiện các mô hình quản lý tưới.

    pdf5p tinhluong123 22-11-2015 22 6   Download

  • In the last decades, there have been some extensions of fuzzy sets and their applications. Recently, type-2 fuzzy set and intuitionistic fuzzy set are two of them, drawing a great deal of scientist's attention because of their widespread range of applications. In this paper, we introduce a new concept - type-2 intuitionistic fuzzy set and propose some properties of their operations.

    pdf10p binhminhmuatrenngondoithonggio 09-06-2017 4 2   Download

  • Approximation of a picture fuzzy set on a crisp approximation space gives a rough picture fuzzy set. In this paper, the concept of a rough picture set is introduced, besides we also investigate some topological structures of a rough picture fuzzy set are investigated, such are lower and upper rough picture fuzzy approximation operators.

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  • This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: Improve a distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce communication cost using the facilitator model (instead of the peer-to-peer model) and the picture fuzzy sets.

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  • Evolution of global technologies has prompted increasing complexity of applications developed in both, the industry and the scientific research fields. These complexities are generally attributed to nonlinearities, poorly defined dynamics and absence of apriori information about the systems. Imprecision, uncertainties and vagueness in information about the system are also playing vital roles in enhancing the complexity of application.

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  • The Fuzzy Set Theory developed by L. Zadeh (Zadeh 1965) as a possible way to handle uncertainty is particularly useful for the representation of vague expert knowledge and processing uncertain or imprecise information. The Fuzzy Set Theory is based on an extension of the classical meaning of the term "set" and formulates specific logical and arithmetical operations for processing information defined in the form of fuzzy sets and fuzzy rules.

    pdf0p phoebe75 01-02-2013 22 6   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum

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  • Coreferencing entities across documents in a large corpus enables advanced document understanding tasks such as question answering. This paper presents a novel cross document coreference approach that leverages the profiles of entities which are constructed by using information extraction tools and reconciled by using a within-document coreference module. We propose to match the profiles by using a learned ensemble distance function comprised of a suite of similarity specialists.

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  • In 2013, Cuong and Kreinovich defined picture fuzzy set (PFS) which is a direct extension of fuzzy set (FS) and intuitionistic fuzzy set (IFS). Wang et al. (2014) proposed intuitionistic linguistic number (ILN) as a combination of IFS and linguistic approach. Motivated by PFS and linguistic approach, this paper introduces the concept of picture linguistic number (PLN), which constitutes a generalization of ILN for picture circumstances.

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  • Since the idea of the fuzzy set was proposed in 1965, many developments have occurred in this area. Applications have been made in such diverse areas as medicine, engineering, management, behavioral science, just to mention some. The application of the fuzzy sets involves different technologies, such as fuzzy clustering on image processing, classification, identification and fault detection, fuzzy controllers to map expert knowledge into control systems, fuzzy modeling combining expert knowledge, fuzzy optimization to solve design problems....

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  • Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing nonlinear controllers via the use of heuristic information. Such heuristic information may come from an operator who has acted as a “human-in-the-loop” controller for a process. In the fuzzy control design methodology, we ask this operator to write down a set of rules on how to control the process, then we incorporate these into a fuzzy controller that emulates the decision-making process of the human.

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  • Many of the tasks required for semantic tagging of phrases and texts rely on a list of words annotated with some semantic features. We present a method for extracting sentiment-bearing adjectives from WordNet using the Sentiment Tag Extraction Program (STEP). We did 58 STEP runs on unique non-intersecting seed lists drawn from manually annotated list of positive and negative adjectives and evaluated the results against other manually annotated lists. The 58 runs were then collapsed into a single set of 7, 813 unique words. ...

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  • This paper proposes a method for mining fuzzy association rules using compressed database. We also use the approach of Hedge Algebra (HA) to build the membership function for attributes instead of using the normal way of fuzzy set theory. This approach allows us to explore fuzzy association rules through a relatively simple algorithm which is faster in terms of time, but it still brings association rules which are as good as the classical algorithms for mining association rules.

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  • This paper presents a new proposal model of predictor using FAR to elevating prediction performance and avoids extraction of the fixed set of FAR before prediction progress. Indeed, a modification tree structure of a FP-growth tree is used in fuzzy frequent itemset mining, when a new requirement raised, the proposed algorithm mines directly in the tree structure for the best prediction result.

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  • “Book/Definitions” Electrical Engineering Dictionary. Ed. Phillip A. Laplante Boca Raton: CRC Press LLC, 2000 Special Symbols α-level set a crisp set of elements belonging to a fuzzy set A at least to a degree α Aα = {x ∈ X | µA (x) ≥ α} See also crisp set, fuzzy set. f hertz. common symbol for bandwidth, in µ0 common symbol for permeability of free space constant. µ0 = 1.257 × 10−16 henrys/meter. common symbol for relative permeµr ability. ω common symbol for radian frequency in radians/second. ω = 2 · π · frequency....

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  • Chương cung cấp phần mở đầu về tập mờ, quan hệ mờ, và các toán tử trong tập mờ. Để hiểu rõ thêm, tìm đọc (Klir and Folger, 1988; Zimmermann, 1996; Klir and Yuan, 1995). Zadeh (1965) giới thiệu lý thuyết về tập mờ như một chuyên ngành toán học, cho dù các ý tưởng này đã được nhiều nhà luận lý và triết gia thừa nhận (Pierce, Russel, Łukasiewicz,v.v,..).

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  • Cluster Analysis is a technique for classifying data, i.e to divide the given data into a set of classes or clusters.

    pdf0p ledung 13-03-2009 120 34   Download

  • In design of a flexible manufacturing system (FMS), different combinations of scheduling rules can be applied to its simulation model. Each combination satisfies a very limited number of performance measures (PM). Evaluation of scheduling rules is an inevitable task for any scheduler.

    pdf1p nguyen3 13-11-2009 106 31   Download

  • Special Symbols α-level set a crisp set of elements belonging to a fuzzy set A at least to a degree α Aα = {x ∈ X | µA (x) ≥ α} See also crisp set, fuzzy set. f hertz. common symbol for bandwidth, in µ0 common symbol for permeability of free space constant. µ0 = 1.257 × 10−16 henrys/meter. common symbol for relative permeµr ability. ω common symbol for radian frequency in radians/second. ω = 2 · π · frequency. common symbol for positive transition θ+ angle in degrees. common symbol for negative transiθ− tion angle in degrees. common symbol for conduction...

    pdf751p chuhop 23-09-2010 72 23   Download

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