Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data
Authors
Keywords
-
Journal
Entropy
Volume 23, Issue 5, Pages 563
Publisher
MDPI AG
Online
2021-05-02
DOI
10.3390/e23050563
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Fuzzy Multiple Criteria Decision Making Approach with a Complete User Friendly Computer Implementation
- (2021) Ludmila Dymova et al. Entropy
- Generalized Correlation Coefficients of Intuitionistic Fuzzy Sets with Application to MAGDM and Clustering Analysis
- (2020) Surender Singh et al. International Journal of Fuzzy Systems
- A Complex MCDM Procedure for the Assessment of Economic Development of Units at Different Government Levels
- (2020) Aleksandra Łuczak et al. Mathematics
- Energy Performance of the European Union Countries in Terms of Reaching the European Energy Union Objectives
- (2020) Roman Vavrek et al. Energies
- Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis
- (2019) Juan Tang et al. International Journal of Environmental Research and Public Health
- Intuitionistic Fuzzy TOPSIS method for green supplier selection problem
- (2019) Babak Daneshvar Rouyendegh et al. SOFT COMPUTING
- A New Multi-Criteria Assessment Model Combining GRA Techniques with Intuitionistic Fuzzy Entropy-Based TOPSIS Method for Sustainable Building Materials Supplier Selection
- (2019) Chen Sustainability
- Measuring sustainable development in the education area using multi-criteria methods: a case study
- (2019) Ewa Roszkowska et al. Central European Journal of Operations Research
- A Hybrid Approach for Modular Neural Network Design Using Intercriteria Analysis and Intuitionistic Fuzzy Logic
- (2018) Sotir Sotirov et al. COMPLEXITY
- An extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation
- (2018) Feng Shen et al. INFORMATION SCIENCES
- Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method
- (2018) Ashkan Memari et al. JOURNAL OF MANUFACTURING SYSTEMS
- Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods
- (2018) Weiwei Li et al. Sustainability
- Measuring systems sustainability with multi-criteria methods: A critical review
- (2017) L Diaz-Balteiro et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An integrating OWA–TOPSIS framework in intuitionistic fuzzy settings for multiple attribute decision making
- (2016) Tianri Wang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015
- (2016) Edmundas Kazimieras Zavadskas et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method
- (2016) Lin Ding et al. Sustainability
- Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment
- (2014) Marco Cinelli et al. ECOLOGICAL INDICATORS
- Developing an Integrated ANP and Intuitionistic Fuzzy TOPSIS Model for Supplier Selection
- (2014) Babak Daneshvar Rouyendegh JOURNAL OF TESTING AND EVALUATION
- A state-of the-art survey of TOPSIS applications
- (2012) Majid Behzadian et al. EXPERT SYSTEMS WITH APPLICATIONS
- On rank reversal and TOPSIS method
- (2011) M. Socorro García-Cascales et al. MATHEMATICAL AND COMPUTER MODELLING
- A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
- (2009) Fatih Emre Boran et al. EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation