<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pawel Tadeusz  Kazibudzki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">AN EXPONENTIAL AND LOGARITHMIC UTILITY APPROACH TO EIGENVECTOR METHOD IN THE ANALYTIC HIERARCHY PROCESS: THE IDEA VALIDATION WITH EXAMPLE LOGISTIC APPLICATION</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Management in the 21st Century </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">analytic hierarchy process</style></keyword><keyword><style  face="normal" font="default" size="100%">eigenvalue method</style></keyword><keyword><style  face="normal" font="default" size="100%">optimization models</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2014/450-1391946474.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Thorough inventory control, planning and coordination, wise and thoughtful selection of warehousing and means of transport are necessary for efficient decisions making in logistics. In order to make optimal decisions, it is necessary to deliberate many options from the perspective of different criteria. It was empirically verified that such problems are difficult to solve without methodological support as they exceed humans’ perception capabilities. However, there are some techniques which can facilitate the process of decision making when successfully applied. One of the most commonly used technique for structured problems solving is the Analytic Hierarchy Process. It is popular because its prescribed procedure supports sophisticated mathematical theory called the Eigenvalue Method which is accurate and unique. It does not mean that there are not other methods that can support the Analytic Hierarchy Process although their application has pros and cons. Two relatively novel methods were proposed recently and their validation studies are the essential part of this research. In comparison with others, their simplicity and compliance with the Eigenvalue Method are their most crucial but not exclusive advantages. At the end of the research, the example logistic problem was solved with their application, and the results of all methods were compared.
</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">85-94</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pawel Tadeusz  Kazibudzki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">AN EXPONENTIAL UTILITY APPROACH TO EIGENVECTOR METHOD IN THE ANALYTIC HIERARCHY PROCESS: AN IDEA INTRO</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Management in the 21st Century </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">analytic hierarchy process</style></keyword><keyword><style  face="normal" font="default" size="100%">deriving priority vector</style></keyword><keyword><style  face="normal" font="default" size="100%">eigenvalue method</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2014/450-1391887443.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">1</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">It is crucial for a credible decision making theory to provide unique answers for the alternatives of a decision. However, different methods and algorithms devised in order to elicit true priority vectors from intuitive judgments give different priority vectors, especially when judgments are inconsistent what constantly takes place in the real life. One could deduce that such variety of results that a potential decision maker can obtain violates the uniqueness requirement mentioned above and therefore is seemed unacceptable. On the other hand, it is known that Eigenvalue Method, commonly applied in the Analytic Hierarchy Process, captures transitivity in matrices that are not consistent in the unique way. That could lead to a conclusion that maybe the Eigenvalue Method is necessary and sufficient to facilitate credible decision making based on priority weighting followed by inconsistent matrices comprising pairwise comparison judgments. However, the Eigenvalue Method, despite of obvious advantages, has also few disadvantages that cannot be neglected. A research described in this article gives rise to a new method for priority vectors deriving which coincides with the Eigenvalue Method but avoids its drawbacks. </style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">60-66</style></section></record></records></xml>