Fuzzy Logic-Based Multi-Criteria Decision-Making Methods (Fuzzy MCDM)

Traditional decision-making approaches provide solutions based on precise and clear data; however, decision-makers often encounter situations involving uncertainty and vagueness in real life. In such cases, traditional Multi-Criteria Decision-Making Techniques (MCDM) may have some limiting factors. At this point, fuzzy logic comes into play, enabling decision-makers to handle uncertainty more effectively. Fuzzy logic-based MCDM approaches offer the capability to process ambiguous data sets without strict boundaries. This article examines fuzzy logic-based multi-criteria decision-making techniques and provides details about these methods.

Fuzzy Logic

Fuzzy logic, developed by Zadeh in 1965, is an approach based on "degrees of truth" rather than the binary true/false system of classical logic. While traditional logic dictates that a statement is either true or false, fuzzy logic represents the degree of truth on a scale from 0 to 1, providing a more flexible decision-making mechanism. Thus, real-world scenarios involving uncertainty can be analyzed more effectively.

Fuzzy Logic-Based MCDM Methods

Fuzzy AHP (Analytic Hierarchy Process)

Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

Fuzzy PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation)

Fuzzy VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje)