In the realm of multi-criteria decision-making, the Fuzzy Analytic Network Process (FANP) method stands out as a comprehensive and versatile technique. FANP empowers decision-makers to delve into the intricate web of relationships among factors while embracing the inherent uncertainty inherent in expert judgments. Within the framework of the Fuzzy Network…
TOPSIS, or Technique for Order Preference by Similarity, is one of the MADM methods that can solve three-level problems. When we say a three-level problem, we mean a problem with a goal, criteria, and alternatives. You can see the structure of a three-level problem in this slide. We have four…
The Fuzzy Analytic Hierarchy Process, often abbreviated as Fuzzy AHP, is a robust decision-making method that introduces a layer of fuzziness to the traditional Analytic Hierarchy Process (AHP). This enhancement allows decision-makers to handle imprecise or uncertain data, making it a valuable tool in situations where clarity may be lacking.…
Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) is a decision-making method used in multi-criteria analysis to evaluate and rank alternatives when dealing with uncertain or imprecise information. Developed by Hwang and Yoon in 1981, Fuzzy TOPSIS has found applications in various fields, including engineering,…
The abbreviation ANP stands for “Analytical Network Process,” a method used for network analysis. ANP is a decision-making technique that shares significant similarities with the Analytic Hierarchy Process (AHP). The ANP method, introduced by Thomas L. Saaty, aims to select appropriate options based on multiple criteria. It is also employed…
In this article, we are going to solve a practical example step-by-step using the Analytic Hierarchy Process (AHP). Before we proceed, let us provide an introduction to AHP and explain why it is necessary. Introduction to Analytic Hierarchy Process (AHP) Multi-criteria decision making (MCDM) is a decision-making approach that allows…