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Generalized Normalized Euclidean Distance Based fuzzy soft set Similarity for Data Classification

Computer Systems Science & Engineering 2021年第7期38卷 119-130页

作者： Rahmat Hidayat Iwan Tri Riyadi Yanto Azizul Azhar Ramli Mohd Farhan Md.Fudzee Ansari Saleh Ahmar Faculty of Computer and Information Technology Universiti Tun Hussein Onn MalaysiaBatu PahatMalaysia Department of Information Technology Politeknik Negeri PadangPadangIndonesia Department of Information System Universitas Ahmad DahlanYogyakartaIndonesia Department of Statistics Universitas Negeri MakassarMakassarIndonesia

Classification is one of the data mining processes used to predict predetermined target classes with data learning *** study discusses data classification using a fuzzy soft set method to predict target classes *** study aims to form a data classification algorithm using the fuzzy soft set *** this study,the fuzzy soft set was calculated based on the normalized Hamming *** parameter in this method is mapped to a power set from a subset of the fuzzy set using a fuzzy approximation *** the classification step,a generalized normalized Euclidean distance is used to determine the similarity between two sets of fuzzy soft *** experiments used the University of California(UCI)Machine Learning dataset to assess the accuracy of the proposed data classification *** dataset samples were divided into training(75%of samples)and test(25%of samples)*** were performed in MATLAB R2010a *** experiments showed that:(1)The fastest sequence is matching function,distance measure,similarity,normalized Euclidean distance,(2)the proposed approach can improve accuracy and recall by up to 10.3436%and 6.9723%,respectively,compared with baseline ***,the fuzzy soft set method is appropriate for classifying data.

关键词： soft set fuzzy soft set classification normalized euclidean distance similarity

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The evaluation of bus service quality based on analytic hierarchy process and fuzzy soft set

The evaluation of bus service quality based on analytic hier...

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第37届中国控制会议

作者： Qingfeng Yang Zhi Kong Shicheng Li Jianwei Ai Liqian Wang Lifu Wang School of Control Engineering Northeastern University At Qinhuangdao State Grid Liaoning Information and Communication Company

Urban public transport is an important infrastructure which is closely related to the people’s *** are many factors that need to be considered when evaluating the quality of public transport service,and it is difficult to describe in a quantitative *** order to improve the service quality of city bus system,this paper uses analytic hierarchy process（AHP） to analyze the level of passenger satisfaction evaluation *** the preference of evaluation experts and the uncertainty of evaluating information,the quality of public transport services is evaluated by fuzzy soft *** example shows that this method is consistent with the process of thinking and can be satisfied with the evaluation results.

关键词： Urban public transport Service quality Analytic hierarchy process fuzzy soft set

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A study on distributive and modular lattice ordered fuzzy soft group and its duality

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Applied Mathematics(A Journal of Chinese Universities) 2016年第4期31卷 491-502页

作者： J Arockia Reeta J Vimala Department of Mathematics Alagappa University

soft set theory has a rich potential application in several fields. A soft group is a parameterized family of subgroups and a fuzzy soft group is a parameterized family of fuzzy subgroups. The concept of fuzzy soft group is the generalization of soft group. Abdulkadir Aygunoglu and Halis Aygun introduced the notion of fuzzy soft groups in 2009[1]. In this paper, the concept of lattice ordered fuzzy soft groups and its duality has been introduced. Then distributive and modular lattice ordered fuzzy soft groups are analysed. The objective of this paper is to study the lattice theory over the collection of fuzzy soft group in a parametric manner. Some pertinent properties have been analysed and hence established duality principle.

关键词： fuzzy soft set fuzzy soft group lattice ordered fuzzy soft groups distributive lattice orderedfuzzy soft groups modular lattice ordered fuzzy soft groups.

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The characterization of Γ-modules in terms of fuzzy soft Γ-submodules

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Applied Mathematics(A Journal of Chinese Universities) 2013年第2期28卷 217-239页

作者： ZHOU Min XIANG Da-jing ZHAN Jian-ming College of Mathematics and Information Science Shaanxi Normal University Department of Mathematics Hubei University for Nationalities

In this paper,we focus on combining the theories of fuzzy soft sets with Γ-modules,and establishing a new framework for fuzzy soft Γ-*** main contributions of the paper are ***,we present the concepts of（R,S）-bi-Γ-submodules,quasi-Γ-submodules and regular Γ-***,some illustrative examples are given to show the rationality of the definitions introduced in this ***,several new kinds of generalized fuzzy soft Γ-submodules are proposed,and related properties and mutual relationships are also ***,we discover some intrinsic connections between the generalized fuzzy soft Γ-submodules presented in this paper and crisp Γ-submodules,and describe the relationships between regular Γ-modules and the generalized fuzzy soft Γ-submodules presented in this paper.

关键词： fuzzy soft set Γ-module (∈ γ ∈ γ ∨ q δ)(resp. (■ γ ■ γ ∨ δ))-fuzzy soft left R-Γ-submodule(right R-Γ-submodules (R S)-bi-Γ-submodule quasi-Γ-submodule) regular Γ-module

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fuzzy soft Expert Matrix Theory and Its Application in Decision-Making

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Open Journal of Applied Sciences 2023年第8期13卷 1403-1417页

作者： Xuefang Liu Department of Mathematics Foshan Open University Foshan China

A unique mathematical strategy for dealing with uncertainty is fuzzy soft set theory. In this paper, we propose fuzzy soft expert matrices and describe numerous varieties of fuzzy soft expert matrices, as well as spec... 详细信息

关键词： fuzzy soft set fuzzy softmatrix fuzzy soft Expert set fuzzy soft Expert Matrix

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