AHP Web App Information
This web application assists you in making decisions using the Analytic Hierarchy Process (AHP), a structured technique for organizing and analyzing complex decisions.
It allows you to define a goal, add criteria, perform pairwise comparisons based on the Saaty scale, and then calculates the weights (priorities) of your criteria along with a consistency check.
** This web application is part of a research project by F F **
What is AHP?
The Analytic Hierarchy Process (AHP) is a structured technique for organizing and analyzing complex decisions, developed by Prof. Thomas L. Saaty. It helps decision-makers find the best solution by breaking down the decision problem into a hierarchy of criteria and alternatives, then comparing them systematically.
AHP Thoery :
- Decomposition: The problem is structured hierarchically, starting with a goal at the top, followed by criteria, sub-criteria, and alternatives at lower levels.
- Pairwise Comparisons: Elements at each level (e.g., criteria) are compared against each other in terms of their relative importance with respect to the element directly above them in the hierarchy. This is done using a fundamental scale (Saaty scale of 1-9), where 1 means equal importance and 9 means extreme importance.
- Priority Calculation: From these pairwise comparisons, a matrix is formed, and the relative weights (priorities) of the elements are derived using mathematical methods (e.g., eigenvalue method or geometric mean method).
- Consistency Check: A key aspect of AHP is checking the consistency of the judgments. If the consistency ratio is too high (typically > 0.10), it indicates that the judgments are inconsistent and should be revised.
- Synthesis: The weights from different levels are combined to get overall priorities for the alternatives at the lowest level, indicating which alternative best achieves the goal.
Applications of AHP:
AHP is widely applied in various fields due to its ability to handle both qualitative and quantitative factors, and its structured approach to complex decision-making. Some common applications include:
- Resource Allocation: Deciding how to distribute limited resources among competing projects or departments.
- Supplier Selection: Choosing the best supplier based on multiple criteria like cost, quality, delivery, and service.
- Project Prioritization: Ranking projects based on strategic alignment, risk, and potential impact.
- Personnel Evaluation: Assessing candidates for a job or employees for promotion.
- Site Selection: Determining the optimal location for a new facility.
- Policy Making: Evaluating the impact of different policies and choosing the most effective one.
- Investment Decisions: Selecting investment portfolios based on risk, return, and other factors.
- Conflict Resolution: Providing a structured way to analyze and resolve disputes by finding common ground.