Hesitant Fuzzy Linear Regression Model for Decision Making

Article Properties
Abstract
Cite
Sultan, Ayesha, et al. “Hesitant Fuzzy Linear Regression Model for Decision Making”. Symmetry, vol. 13, no. 10, 2021, p. 1846, https://doi.org/10.3390/sym13101846.
Sultan, A., SaƂabun, W., Faizi, S., & Ismail, M. (2021). Hesitant Fuzzy Linear Regression Model for Decision Making. Symmetry, 13(10), 1846. https://doi.org/10.3390/sym13101846
Sultan A, SaƂabun W, Faizi S, Ismail M. Hesitant Fuzzy Linear Regression Model for Decision Making. Symmetry. 2021;13(10):1846.
Journal Categories
Science
Mathematics
Science
Science (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Linear regression analysis with fuzzy model IEEE Transactions on Systems, Man, and Cybernetics 1982
Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method–FUCOM-F 2020
A new approach for fuzzy multiple regression with fuzzy output International Journal of Industrial and Systems Engineering 2011
A Study of Different Distance Metrics in the TOPSIS Method 2021
Fuzzy Sets, Decision Making, and Expert Systems 1987
Citations
Title Journal Journal Categories Citations Publication Date
Multi-criteria decision analysis: Hesitant fuzzy methodology towards expert systems for analyzing financial markets dynamics

Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Hesitant t-spherical fuzzy linear regression model based decision making approach using gradient descent method Engineering Applications of Artificial Intelligence
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
8 2023
Fuzzy Multivariate Regression Models for Seismic Assessment of Rocking Structures

Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
2023
Prediagnosis of Disease Based on Symptoms by Generalized Dual Hesitant Hexagonal Fuzzy Multi-Criteria Decision-Making Techniques

Systems
  • Technology: Engineering (General). Civil engineering (General): Systems engineering
  • Technology: Technology (General)
  • Social Sciences: Sociology (General)
  • Social Sciences: Sociology (General)
  • Social Sciences
13 2023
Bipolar fuzzy metric spaces with application Computational and Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
14 2022
Citations Analysis
The category Technology: Engineering (General). Civil engineering (General) 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Making Group Decisions within the Framework of a Probabilistic Hesitant Fuzzy Linear Regression Model and was published in 2022. The most recent citation comes from a 2023 study titled Multi-criteria decision analysis: Hesitant fuzzy methodology towards expert systems for analyzing financial markets dynamics. This article reached its peak citation in 2023, with 4 citations. It has been cited in 8 different journals, 50% of which are open access. Among related journals, the Soft Computing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year