Analytic Hierarchy Process for Survey Data in R

This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.

This project provides an implementation of the Analytic Hierarchy Process (AHP) algorithm with a user-friendly interface.

Analytic Hierarchy Process

A web-based tool for making complex decisions using the Analytic Hierarchy Process (AHP) through pairwise comparisons.

Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.

Consensus-Ranking Organizational-Support System

Support System for Decision Maker for strategic business expansion

Analytic Hierarchy Process application

Program that implements the Thomas Saati hierarchy analysis method for a single level

Integrating the Analytic Hierarchy Process (AHP) with Machine Learning algorithms to enhance decision-making and problem-solving capabilities.

"AnaHiePro" is a module that allows solving various tasks of systems analysis using the Analytic Hierarchy Process (AHP).

基于层次分析法（AHP）的优秀党员评价系统，以Excel表格实现

AHP Practice is a lightweight Node.js server that applies the Analytic Hierarchy Process for multi-criteria decision making. It computes priority vectors using the geometric mean method and checks consistency ratios to ensure reliable and logical comparisons through a simple JSON-based API.

End-to-End Python implementation of the Heuristic-Augmented Financial Risk Index (HAFRI) framework from Abdullah et al. (2025). Processes expert surveys and financial statements to generate composite risk scores, enabling robust ranking of fiscal periods through hierarchical decomposition and consistency validation.