Abstract
When a decision maker is not sure in assigning a value for a pairwise comparison, he/she should assign a fuzzy value such as ‘between 3 and 4’ or ‘around 5’. These expressions can be represented by fuzzy numbers, which make the use of fuzzy AHP methods possible. Each new fuzzy set extension has caused new fuzzy AHP method to be developed by researchers. INFUS conferences is a scientific arena that the researchers can present their new fuzzy AHP extensions and benefit the discussions during the sessions. This paper summarizes the latest fuzzy AHP/ANP extensions developed in the recent years at INFUS conferences.
Keywords
Pairwise comparison
Fuzzy logic
Analytic hierarchy process
Computer science
Value (mathematics)
Set (abstract data type)
Extension (predicate logic)
Fuzzy number
Operations research
Fuzzy set
Artificial intelligence
Data mining
Machine learning
Mathematics
Subject Areas
Multi-Criteria Decision Making
·Management Science and Operations Research ·Social Sciences
Evaluation Methods in Various Fields
·Ecological Modeling ·Physical Sciences
Fuzzy Logic and Control Systems
·Artificial Intelligence ·Physical Sciences
Citations by Year
2022: 2
2023: 4
2024: 1
2025: 1
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