The fuzzy set

There are generally four factors that determine the performance of the FTS forecasting model (1) determining the length of intervals in the universe of discourse, (2) fuzzification rules or feature representation of crisp time series, (3) establishing fuzzy relation groups (FRGs) and (4) creating defuzzification rule to get crisp forecasted value.

12p viambani 18-06-2024 2 1   Download

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   Download

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   Download

In this paper, we use the variable precision method on approximate operators of the FRS model to expand measures to effectively evaluate attributes on noisy datasets. The main contributions of this paper include: Proposing new approximation operations to extend VPFRS to VPOFRS; proposing some measures based on VPOFRS to evaluate the consistency degree of the decision table and the dependence degree of the attribute.

15p dianmotminh02 03-05-2024 2 1   Download

The paper is organized as follows: Section 2 provides the preliminaries, which include the fundamental definitions of the M-CFIS model, CFTL, and tree. Section 3 investigates the novel CFRG-based complex fuzzy transfer learning. Section 4 evaluates the proposed RTrieCFTL by running it on both real-life and benchmark data sets. To conclude, the last part must outline this research’s future work.

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This study presents a framework for efficient portfolio management for trading under uncertain environment. The proposed framework can be used to determine the dominance of various sectors among the chosen set of alternatives.

7p longtimenosee10 26-04-2024 2 1   Download

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   Download

This article is based on published works on fuzzy control for robots in general and mechanical processing robots to analyze the applicability of fuzzy control for mechanical machining robots. The article provides detailed information on fuzzy controller design, determining input and output variables, and proportional mapping to determine the number of fuzzy sets and the corresponding type of membership function.

39p vialfrednobel 21-12-2023 4 4   Download

With a classic Proportional-Integral-Derivative (PID) control, the trajectory tracking performance is not high because a fixed set of PID parameters does not solve the enhancing performance problem. Therefore, in this paper, a fuzzy PID control (FPIDC) for a PAM is presented to improve the trajectory tracking performance. The efficiency of the proposed controller has been verified by experiment under different conditions.

7p vibranson 30-11-2023 7 4   Download

In this paper, the control design for the grid-connected converter used as a part of the wind turbine generator is discussed. First, the three-phase T-type multilevel converter, which exhibits several advantages such as low total harmonic distortion, reduced voltage stress, and switching loss, is employed for the power stage. Second, finite control set model predictive control (FCS-MPC) is adopted to achieve a multi-objective optimization solution for the inner grid-connected current control loop.

8p vibranson 30-11-2023 5 5   Download

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficulty for the conventional approaches of logistic regression, neural network models, and decision trees. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

182p haojiubujain08 01-11-2023 9 2   Download

Ebook "Fuzzy expert systems and fuzzy reasoning" includes content: Introduction, rule based systems - overview; fuzzy logic, fuzzy sets, and fuzzy; numbers inference in an expert system I; combining uncertainties resolving contradictions - possibility and necessity, expert system shells and the integrated development environment, running and debugging expert systems II,...and other contents.

422p haojiubujain07 20-09-2023 2 2   Download

This study presents a reinforced technique for mining frequent fuzzy sets based on cellular learning automata (CLA). The results demonstrate that frequent set mining can be accomplished with less running time when the proposed method is compared to iMFFP and NPSFF methods.

18p vimulcahy 18-09-2023 5 4   Download

Big data processing is attracting the interest of many researchers to process large-scale datasets and extract useful information for supporting and providing decisions. One of the biggest challenges is the problem of querying large datasets. It becomes even more complicated with similarity queries instead of exact match queries.

24p vimulcahy 18-09-2023 8 3   Download

The study stands on the standpoint that there exist close and essential relationships between real-world structures and their information provided to human beings in reality. The study gives a survey to summarize specific distinguishing fundamental features of HA-formalism, its applicability in problem-solving, and its performance and advantages.

40p vimulcahy 18-09-2023 7 4   Download

Instead of handling fuzzy sets associated with linguistic (L-) labels based on the developers’ intuition immediately, the study follows the hedge algebras (HA-) approach to the time series forecasting problems, in which the linguistic time series forecasting model was, for the first time, proposed and examined in 2020.

28p vimulcahy 18-09-2023 6 3   Download

Pythagorean picture fuzzy set (PPFS) is a combination of Picture Fuzzy Set and the Yager’s Pythagorean Fuzzy Set. In the first part of the paper we introduced some basic notions namely the set operators on PPFS.

14p vimulcahy 18-09-2023 5 3   Download

In this paper, we build an incremental algorithm to find the approximate reduct according to the combined filter-wrapper approach. Experimental results on a number of sample datasets show that the proposed incremental algorithm is more efficient than some other incremental algorithms following the filter approach in terms of the number of reductive set attributes and classification accuracy.

8p vineville 08-02-2023 6 2   Download

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   Download

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   Download