Topic
Pairwise comparison
About: Pairwise comparison is a research topic. Over the lifetime, 6804 publications have been published within this topic receiving 174081 citations.
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TL;DR: In this paper, the authors proposed an evaluation and ranking model using an integration of Taguchi Loss Function, best-worst method (BWM), and VIKOR technique, which allows decision makers to set different target values and consumer's tolerance thresholds for each criterion based on which country's airports are being ranked and also reduce the amount of pairwise comparisons by using BWM.
115 citations
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TL;DR: In this paper, an improved solution is presented for the problem of finding the smallest number of direct pairwise comparisons which will always suffice to rank n objects according to some transitive characteristic.
Abstract: : An improved solution is presented for the problem of finding the smallest number of direct pairwise comparisons which will always suffice to rank n objects according to some transitive characteristic. In his book, Mathematical Snapshots, Steinhaus discusses the problem of ranking n objects according to some transitive characteristic, by means of successive pairwise comparisons. In this paper, the terminology was adopted of a tennis tournament by n players. The problem may be briefly stated: 'What is the smallest number of matches which will always suffice to rank all n players.'
114 citations
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01 Jan 2005
TL;DR: In this article, a fuzzy analytic hierarchy process (FAHP) analysis is employed to accommodate the inherent uncertainty in the judgement-making process by the decision maker(s) in the form of doubt, hesitancy, and procrastination.
Abstract: Capital budgeting as a decision process is among the most important of all management decisions. The importance (consequents) of the subsequent outcome may bring a level of uncertainty to the judgement-making process by the decision maker(s) in the form of doubt, hesitancy, and procrastination. This study considers one such problem, namely the selection of the type of fleet car to be adopted by a small car rental company, a selection that accounts for a large proportion of the companyi¦s working capital. With a number of criteria to consider, a fuzzy analytic hierarchy process (FAHP) analysis is undertaken to accommodate the inherent uncertainty. Developments are made to the FAHP method utilised to consider the preference results with differing levels of precision in the pairwise judgements made.
114 citations
01 Jan 2006
TL;DR: PICT is described, a tool built on top of a flexible combinatorial test case generation engine, which implements several concepts of practical importance.
Abstract: Pairwise testing has become an indispensable tool in a software tester’s toolbox. The technique has been known for almost twenty years [22] but it is the last five years that we have seen a tremendous increase in its popularity. Information on at least 19 tools that can generate pairwise test cases, have so far been published [1]. Most tools, however, lack practical features necessary for them to be used in industry. This paper describes PICT, a tool built on top of a flexible combinatorial test case generation engine, which implements several concepts of practical importance.
114 citations
TL;DR: A methodology capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups is developed.
Abstract: Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.
114 citations