Proceso de Análisis Jerárquico: La Ciencia detrás de las Decisiones Estratégicas.

Abstract

The book Process of Hierarchical Analysis: The Science Behind Strategic Decisions provides a comprehensive overview of the Analytic Hierarchy Process (AHP), developed by Thomas L. Saaty, as a tool for addressing multi-criteria decision-making in complex contexts. Through a hierarchical structure that decomposes a problem into levels—goal, criteria, and alternatives— AHP enables the organization and prioritization of key elements by means of pairwise comparisons. The work clearly explains the mathematical foundations of the model, based on the use of reciprocal matrices and the computation of eigenvalues and eigenvectors to derive relative weights. It also introduces the concept of the consistency ratio as a measure to validate the coherence of the judgments made. Beyond theory, the text underscores its applicability in diverse real-world domains such as strategic planning, alternative evaluation, sustainability, and risk management, while also highlighting variants such as Fuzzy AHP and the Analytic Network Process (ANP). Balancing technical rigor with accessibility, this work stands as a fundamental reference for students and researchers seeking to apply AHP with precision and academic rigor.