Results 11 to 20 of about 381 (66)

Multipath Route Optimization with Multiple QoS Constraints Based on Intuitionistic Fuzzy Set Theory

Wireless Communications and Mobile Computing, 2023
In wireless networks, a change in network state is unpredictable because of the movement of network nodes, which is not conducive to the stability of the network and poses an especially serious challenge to network routing technology.
Peng Ren, Ran Zhang, Shuhang Luo
semanticscholar   +1 more source

A Framework For Adaptive E-Learning Module Recommendation Using Intuitionistic Fuzzy Sets And Euclidean Distance

International Journal For Multidisciplinary Research
Intuitionistic Fuzzy Set which extends classical fuzzy sets by incorporating both membership and non-membership degrees along with hesitation, provide a richer way to model uncertainty.
S. A, Vinupriya P
semanticscholar   +1 more source

Intuitionistic Fuzzy Granular Matrix: Novel Calculation Approaches for Intuitionistic Fuzzy Covering-Based Rough Sets

Axioms
Intuitionistic fuzzy (IF) β-minimal description operators can deal with noise data in the IF covering-based rough set theory. That is to say, they can be used to find data that we need in IF environments.
Jingqian Wang, Xiaohong Zhang
semanticscholar   +1 more source

An intuitionistic fuzzy rough model for maritime transportation chains under disaster effects: the case of COVID-19

E3S Web of Conferences
The outbreak of COVID-19 has caused disruptions in port transport infrastructure and shipping, resulting in higher shipping rates in 2022. This article aims to assess the extent of COVID-19 risks on the capacity and concentration of traffic flows, and ...
E. Ganshina
semanticscholar   +1 more source

MST Initialization Based Intuitionistic Fuzzy c Means Clustering Using LINEX Hellinger Distance and Its Applications

Journal of Electrical and Electronics Engineering
Due to the uncertainty and fuzziness of information, the traditional clustering analysis method sometimes cannot meet the requirement in practice. The clustering method based on intuitionistic fuzzy set has attracted more and more scholars attention ...
N. M., K. Balasubramaium, S. S.
semanticscholar   +1 more source

Improved ordering and aggregation operators for circular intuitionistic fuzzy sets in multi-criteria decision-making

Complex & Intelligent Systems
The Circular Intuitionistic Fuzzy Set (CIFS) is an extension of the Intuitionistic Fuzzy Set (IFS), developed to represent information with distributed uncertainty through a circular uncertainty region.
Dian Pratama, Binyamin Yusoff, J. Alcantud, Lazim Abdullah, Faishal Al-Sharqi   +4 more
semanticscholar   +1 more source

Contra Generalized Semi-Preopen Mappings in Intuitionistic Fuzzy Topological Spaces

, 2010
In this paper we introduce intuitionistic fuzzy contra generalized semi-preopen mappings, intuitionistic fuzzy almost contra generalized semi-preopen mappings and intuitionistic fuzzy contra $M$-generalized semi-preopen mappings.
R. Santhi, D. Jayanthi
semanticscholar   +1 more source

Improving Quality Evaluation for Control Systems of Machining Line Product Processing With Smart Algorithmic Techniques in Intuitionistic Fuzzy Multiple-Attribute Group Decision-Making

IEEE Access
The evaluation of a machining line product quality monitoring system assesses its effectiveness in ensuring consistent product quality during manufacturing. It involves analyzing the system’s ability to detect defects, monitor key process parameters, and
Chunjiang He, Jian Jiang
semanticscholar   +1 more source

Algorithm for Finding Domination Set in Intuitionistic Fuzzy Graph

EUSFLAT Conf., 2019
In this paper, the concept of minimal intuitionistic dominating vertex subset of intuitionistic fuzzy graph was considered, and on its basis the notion of a domination set as an invariant of the intuitionistic fuzzy graph was introduced.
A. Bozhenyuk, M. Knyazeva, I. Rozenberg
semanticscholar   +1 more source

A new Semi-Supervised Intuitionistic Fuzzy C-means Clustering

EAI Endorsed Transactions on Scalable Information Systems, 2018
Semi-supervised clustering algorithms aim to increase the accuracy of unsupervised clustering process by effectively exploring the limited supervision available in the form of labelled data.
J. Arora, M. Tushir
semanticscholar   +1 more source