Thomas L. Saaty

Bio: Thomas L. Saaty is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Analytic hierarchy process & Analytic network process. The author has an hindex of 92, co-authored 375 publications receiving 95026 citations. Previous affiliations of Thomas L. Saaty include College of Business Administration & Politécnico Grancolombiano.

Embracing the Future: Meeting the Challenge of Our Changing World

Abstract: The shock studying the future change order technology science the brain creativity problem solving the challenge of the future.

A New Approach to the Middle East Conflict: The Analytic Hierarchy Process

Abstract: We present an alternative process to address the Israeli Palestinian conflict. It does so in two ways that are different from past efforts. The first is by formally structuring the conflict and the second is the manner in which discussions are conducted and conclusions drawn.

The Eigenvector in Lay Language

Abstract: Decision making depends on identifying a structure of criteria and alternatives of a decision. It also depends on experience and judgments to select the best alternative. In the Analytic Hierarchy Process (AHP) for decision making the criteria and alternatives are prioritized by forming matrices of judgments and from these judgments priorities are derived for each matrix in the form of the principal eigenvector. An eigenvector is a technical mathematical idea that would benefit from a simplifying explanation. That is what this note does - in two ways. http://dx.doi.org/10.13033/ijahp.v2i2.87

Systems Characteristics and The Analytic Hierarchy Process

Abstract: This chapter describes the properties of systems in correlation with the Analytic Hierarchy Process (AHP) highlighting it as a systems method for dealing with systems problems. The AHP, with its extensions to systems with feedback, captures the major properties embodied in systems theory and is its hand maiden. The chapter highlights a few characteristics of systems that are important in hierarchic or network representation to obtain the most faithful and realistic interpretation and solution of problems. The chapter discusses systems in terms of four major attributes, namely, purpose, function, flow, and structure. The purposes of a system are linked to the environment in which the system is embedded. A problem which occurs in a given system can be regarded either as improper functioning in the system itself or as a flaw in its interactions with the environment. The interface of the system with the environment is separate from either the system or the environment. Solving one problem can lead to disturbing other factors in the system or in its interface with the environment.

The Analytic Hierarchy Process

Abstract: This chapter provides an overview of Analytic Hierarchy Process (AHP), which is a systematic procedure for representing the elements of any problem hierarchically. It organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pair-wise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy. These judgments are then translated to numbers. The AHP includes procedures and principles used to synthesize the many judgments to derive priorities among criteria and subsequently for alternative solutions. It is useful to note that the numbers thus obtained are ratio scale estimates and correspond to so-called hard numbers. Problem solving is a process of setting priorities in steps. One step decides on the most important elements of a problem, another on how best to repair, replace, test, and evaluate the elements, and another on how to implement the solution and measure performance.

Fuzzy Set Theory - and Its Applications

Abstract: Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. All chapters have been updated. Exercises are included.

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or