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Decisions involve many intangibles that need to be traded off. To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how well, they serve the objectives of the decision maker. The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales. It is these scales that measure intangibles in relative terms. The comparisons are made using a scale of absolute judgements that represents, how much more, one element dominates another with respect to a given attribute. The judgements may be inconsistent, and how to measure inconsistency and improve the judgements, when possible to obtain better consistency is a concern of the AHP. The derived priority scales are synthesised by multiplying them by the priority of their parent nodes and adding for all such nodes. An illustration is included.
2018
This paper examines the pattern of development of the AHP research. The Analytic Hierarchy Process (AHP) was introduced by T.L. Saaty, is an effective tool for dealing with complex decision making, and may aid the decision maker to set priorities and make the best decision. The analytic hierarchy process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales, these scales that measure intangibles in relative terms. The ratio scales are derived from the principal Eigen vectors and the consistency index is derived from the principal Eigen value.
This paper serves as an introduction to the Analytic Hierarchy Process -A multicriteria decision making approach in which factors are arranged in a hierarchic structure. The principles and the philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
Journal of Applied Information Science, 2017
In this paper, we first reviews different measurement scales (Linear, Power, Geometric, Logarithmic, Root square, Inverse linear, and Balanced) adopted in Analytic Hierarchy Process (AHP). then, with reduction of different measurement scale ranges to: left position (i.e., for linear measurement scale: 1-3), middle position (4-6), right position (7-9), left & middle position (1-6), middle & right position (4-9), and perfect ranges (1-9), the effects of different measurement scale on priorities and discrimination level (to discriminate an important alternative from others) of alternatives are investigated. The findings of this paper reveal that first, in 39 possibilities out of 42 cases, the same ranking (A1>A2>A3) with different intensities were obtained, and in 3 possibilities rank reversal are happened. Next, the geometric measurement scale in all ranges and particularly in perfect range have the best performance in discriminating an important alternative than others. Moreover, only the left position and perfect ranges in the most of measurement scales have the best performance in discriminating an important alternative from others.
It is a fact that people make decisions and have been making decisions for a very long time. Contrary to what some of us who are interested in decision-making may like to believe, most people do not take seriously the existence of theories which purport to set their thinking and feeling right. They claim to know their own value system and what they want. They may wonder how anyone else can know well enough to tell them how best to organize their thinking in order to make better choices. Yet, research has shown that complex decisions are beyond the capacity of the brain to synthesize intuitively and efficiently. Since decision making is a natural characteristic of people, how do we describe what they do so that an ordinary mortal can understand what we are saying? We do not wish to legislate the method with which people should make decisions, but only to describe it even when it is prescribed by some method. In the process, we may learn things that can help people make better decisions. How?
European Journal of Operational Research, 1991
The uncertainty in the relative weights of a pairwise comparison matrix in the Analytic Hierarchy Process (AHP) is caused by the uncertainty in our decision judgements and in many cases can not be avoided. In this paper, it is explicitly shown how such uncertainties can be incorporated within the framework of AHP and how the resulting uncertainties in the relative priorities of the decision alternatives can be computed. The required algorithm and the computational procedures are also developed and illustrated with examples. Uncertainty is introduced as a fundamental concept independent of the concept of consistency with a view to extend the AHP as a decision analysis procedure.
Here we introduce the Analytic Hierarchy Process as a method of measurement with ratio scales and illustrate it with two examples. We then give the axioms and some of the central theoretical underpinnings of the theory. Finally, we discuss some of the ideas relating to this process and its ramifications. In this paper we give special emphasis to departure from consistency and its measurement and to the use of absolute and relative measurement, providing examples and justification for rank preservation and reversal in relative measurement.
International journal of information and …, 2009
This study presents an additive scale model for the Analytic Hierarchy Process (AHP) that suits the decision problem using a linear preference comparison. This study discusses issues related to mathematical denotation, axiom, transitivity and numerical analysis for the additive scale model of AHP. The least squares method and correlation analysis are used to obtain the relative criteria weights and consistency index. Moreover, a fuzzy model is developed to enhance the practical flexibility of the additive scale model of AHP in applications. Two examples are used to demonstrate that the criteria weights derived from the proposed approach are steady and effectively reflect the intensity of perception, and the consistency index is invariant to the scale multiplier employed.
International Journal of Intelligent Systems, 2006
Let us consider the Analytic Hierarchy Process in which the labels are structured as graded numbers. To obtain the scoring that corresponds to the best alternative, or the ranking of the alternatives, we need to use a total order for the graded numbers involved in the problem. In this article, we consider a definition of such a total order, which is based upon two subjective aspects: the degree of optimism/pessimism and the liking for risk /safety. As several operations, such as product, quotient, and so forth, of fuzzy numbers do not preserve the triangularity, we also use the graded numbers that are analogous to the fuzzy numbers; however, the operations with graded numbers are carried out as a simple extension of operations with real intervals.
2001
The objective of this study is to find the scale of the Analytic Hierarchy Process (AHP) appropriate for representing decision maker's perception. Specifically, two scales, linear scale and power scale, employed in the pair-wise comparison of the AHP are evaluated. The results offer some evidence that the power scale is preferable to the linear scale as the judgment scale.
Analytical Hierarchy Process is one of the most inclusive system which is considered to make decisions with multiple criteria because this method gives to formulate the problem as a hierarchical and believe a mixture of quantitative and qualitative criteria as well. This paper summarizes the process of conducting Analytical Hierarchy Process (AHP).
European Journal of Operational Research, 1990
The Analytic Hierarchy Process (AHP) provides the objective mathematics to process the inescapably subjective and personal preferences of an individual or a group in making a decision. With the AHP and its generalization, the Analytic Network Process (ANP), one constructs hierarchies or feedback networks, then makes judgments or performs measurements on pairs of elements with respect to a controlling element to derive ratio scales that are then synthesized throughout the structure to select the best alternative.
Spatium, 2007
The first part of this text deals with a convention site selection as one of the most lucrative areas in the tourism industry. The second part gives a further description of a method for decision making - the analytic hierarchy process. The basic characteristics: hierarchy constructions and pair wise comparison on the given level of the hierarchy are allured. The third part offers an example of application. This example is solved using the Super - Decision software, which is developed as a computer support for the analytic hierarchy process. This indicates that the AHP approach is a useful tool to help support a decision of convention site selection. .
The problem of purchasing a mono type flashlight for all the staff working at a shipyard is a good application for AHP (Analytic hierarchy process) because of its nature. The staff working at site or on board normally do their jobs in a special environment where inside of tanks and blocks are completely dark. Personal preferences, depending on the experiences and habits affect the flashlight choices of the staff. This makes the purchasing problem; a multi criteria and multi attribute decision making (MCMADM) problem which complies with AHP. E. K. Gencsoy from BV Istanbul/Turkey has developed a method to do this as explained in this study.
In many industrial engineering applications the final decision is based on the evaluation of a number of alternatives in terms of a number of criteria. This problem may become a very difficult one when the criteria are expressed in different units or the pertinent data are difficult to be quantified. The Analytic Hierarchy Process (AHP) is an effective approach in dealing with this kind of decision problems. This paper examines some of the practical and computational issues involved when the AHP method is used in engineering applications.
Mathematical and Computer Modelling, 1993
Despite the many books and jonmal articles that have appeared about the Analytic Hierarchy Process (AHP), some important misconceptions about AHP remain. This paper discusses issues which underlie these misconceptions, including the cause and significance of "rank reversal," situations allowing or preventing rank reversals, the constraint of a 9 point scale, the roles of redundancy, intransitivities, and inconsistencies, the accommodation of objectivity and uncertainty, the similarities of AHP and Multi Attribute Utility Theory (MAUT), and opportunities to combine MCDM methodologies in real world decisions.
The analytic hierarchy process (AHP) is a decision-making procedure widely used in management for establishing priorities in multicriteria decision problems. Underlying the AHP is the theory of ratio-scale measures developed in psychophysics since the middle of the last century. It is, however, well known that classical ratio-scaling approaches have several problems. We reconsider the AHP in the light of the modern theory of measurement based on the so-called separable representations recently axiomatized in mathematical psychology. We provide various theoretical and empirical results on the extent to which the AHP can be considered a reliable decision-making procedure in terms of the modern theory of subjective measurement.
International Journal of Business Analytics and Intelligence, 2017
The present study, presents a comparative analysis of different measurement scales adopted in Analytic Hierarchy Process (AHP), by testing them versus a problem with a known composite answers. Then experimentally, the impact of the different measurement scale elements alteration from three aspects: 1. The limited scale upper bound (up to 9), 2. Changing the scale parameters (a parameters), and 3. Changing the system numbers (from 1, 3…9; to 2, 4…10) on priorities are investigated. The results show that the linear measurement scale has the best performance in comparison to other scales.
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