Results 221 to 230 of about 138,651 (264)
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Some Information Measures for Fuzzy Rough Sets

International Journal of Fuzzy System Applications, 2021
Information theory is a tool to measure uncertainty; these days, it is used to solve various challenging problems that involve hybridization of information theory with the fuzzy set, rough sets, vague sets, etc.
Omdutt Sharma   +2 more
semanticscholar   +1 more source

Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets

International Journal of Fuzzy System Applications, 2018
This article describes how most frequently uncertainty arises due to vagueness, imprecision, partial information, etc., are encountered in medical diagnosis.
P. Dutta
semanticscholar   +1 more source

The Promise of Fuzzy Set Theory for Entrepreneurial Judgment

Entrepreneurship: Theory & Practice
We extend recent work on knowledge problems by observing that the complexity, ambiguity, and uncertainty of entrepreneurship pertain not only to action-outcome likelihoods but also to the very criteria of entrepreneurial judgment.
F. Nobre   +2 more
semanticscholar   +1 more source

Methods of Decision Making and Fuzzy Sets in the Selection of the Optimal Location for a Metro Station

Conference of the Open Innovations Association
The paper is devoted to solving the problem of selecting the optimal location of a metro station in a microdistrict with established urban development and infrastructure. The problem is solved using a combined method based on the method of multi-criteria
Alexandra Ponomareva   +2 more
semanticscholar   +1 more source

APPLICATION OF FUZZY LOGIC TO ARTIFICIAL INTELLIGENCE SYSTEMS

SOFT MEASUREMENTS AND COMPUTING
Currently, the relevance of the presented work is due to the fact that it is impossible to deny the validity of the theory of fuzzy sets and fuzzy logic as a tool of computer science in almost all areas of human activity.
A. Chernyaev   +2 more
semanticscholar   +1 more source

The relationship between soft sets and fuzzy sets and its application

Journal of Intelligent & Fuzzy Systems, 2019
This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and we prove that every fuzzy set on a universe U can be considered as a soft set, and show that any soft set can be regarded as even a fuzzy set.
Zhicai Liu   +3 more
semanticscholar   +1 more source

A faster algorithm for identifying signals using complex fuzzy sets

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
Madad Khan   +4 more
semanticscholar   +1 more source

A Fuzzy Rough Set-based Method for Risk Assessment in Electricity Billing

2025 International Conference on Intelligent Systems and Computational Networks (ICISCN)
With the increasingly fierce competition in the electricity market, customer demand for electricity is constantly increasing, and risks such as billing fraud, inconsistent data, and illegal access are constantly increasing.
Ruobing Wu, Ye Yuan, Zhenchao Zhang
semanticscholar   +1 more source

Picture fuzzy normed linear operators

Boletim da Sociedade Paranaense de Matemática
Picture fuzzy set (PFS) is an instantaneous extension of Intuitionstic Fuzzy (IF) sets. In this article, we have introduced an idea of PF norm of a linear operator from a PFNL space to another PFNL space and also defined two varieties (strong and weak ...
Suman Das, Kalyan Sinha, Ajoy Kanti Das
semanticscholar   +1 more source

Security-aware multi-cloud service composition by exploiting rough sets and fuzzy FCA

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
F. Lahmar, Haithem Mezni
semanticscholar   +1 more source

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