Results 21 to 30 of about 13,837 (168)

A New Divergence Measure of Pythagorean Fuzzy Sets Based on Belief Function and Its Application in Medical Diagnosis

Mathematics, 2020
As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
doaj   +1 more source

M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing

Mathematics, 2020
Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events
Tran Manh Tuan, Luong Thi Hong Lan, Shuo-Yan Chou, Tran Thi Ngan, Le Hoang Son, Nguyen Long Giang, Mumtaz Ali   +6 more
doaj   +1 more source

Research on Evidence Theory Model of Hesitant Fuzzy Information Over Two Universes

Journal of Harbin University of Science and Technology
Aiming at the computational complexity of generalized two-universe hesitant fuzzy rough set in dealing with complex hesitant information multi-attribute decision making, this paper deeply studies the description and construction of two-universe hesitant ...
MAO Yixuan, WANG Qinghai
doaj   +1 more source

Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment

International Journal of Computational Intelligence Systems, 2016
In this paper, we propose new methods to represent interdependence among alternative attributes and experts’ opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers.
Jindong Qin, Xinwang Liu, Witold Pedrycz
doaj   +1 more source

Fuzzy solution of system of fuzzy fractional problems using a reliable method

Alexandria Engineering Journal, 2022
Under uncertainty, the analytical behavior of fractional differential equations is frequently puzzling and difficult to predict. As a result, it's necessary to develop a suitable, comprehensive, and highly effective theory to solve these challenges.
Ehsan Ul Haq, Qazi Mahmood Ul Hassan, Jamshad Ahmad, Kubra Ehsan   +3 more
doaj   +1 more source

THE LINEARITY OF THE EXPECTED VALUE OF A FUZZY VARIABLE

Barekeng
In this research, we introduce a novel credibility measure defined as a non-empty set satisfying the axioms of normality, monotonicity, self-duality, and maximality.
Uvi Dwian Kencono, Indarsih - Indarsih
doaj   +1 more source

A Multiple Attribute Decision Making Approach Based on New Similarity Measures of Interval-valued Hesitant Fuzzy Sets

International Journal of Computational Intelligence Systems, 2018
Hesitant fuzzy sets, as an extension of fuzzy sets to deal with uncertainty, have attracted much attention since its introduction, in both theory and application aspects.
Yi Liu, Jun Liu, Zhiyong Hong
doaj   +1 more source

Measurement-theoretic frameworks for fuzzy set theory [PDF]

, 1997
Two different but related measurement problems are considered within the fuzzy set theory. The first problem is the membership measurement find the second is property ranking. These two measurement problems are combined and two axiomatizations of fuzzy set theory are obtained.
Taner Bilgiç, I. Burhan Türkşen
openaire   +1 more source

Rock Mass Quality Evaluation Based on Unascertained Measure and Intuitionistic Fuzzy Sets

Complexity, 2020
Evaluation of rock mass quality is of great significance to the design and construction of geotechnical engineering. In order to evaluate the quality of engineering rock mass scientifically and deal with the fuzzy information in the rock mass quality ...
Shuliang Wu, Xidong Du, Shan Yang
doaj   +1 more source

A New Interval-Valued Fuzzy Set Knowledge and Accuracy Measure with Applications in Multi-Criteria Decision-Making and Recognizing Patterns

Fuzzy Information and Engineering
Fuzzy sets with interval values are a generalization of conventional fuzzy sets. The theoretical understanding of interval-valued fuzzy sets rests under the presumption that each element possesses a single real-valued truth membership degree that falls ...
Dinesh Kansal, Satish Kumar
doaj   +1 more source