Introduction to the analytic hierarc...
Brunelli, Matteo.

 

  • Introduction to the analytic hierarchy process[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 658.4033
    書名/作者: Introduction to the analytic hierarchy process/ by Matteo Brunelli.
    作者: Brunelli, Matteo.
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: viii, 83 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Decision making - Mathematical models.
    標題: Algorithms.
    標題: Eigenvectors.
    標題: Economics/Management Science.
    標題: Operation Research/Decision Theory.
    標題: Operations Research, Management Science.
    標題: Econometrics.
    ISBN: 9783319125022 (electronic bk.)
    ISBN: 9783319125015 (paper)
    內容註: Introduction and fundamentals -- Priority vector and consistency -- Missing comparisons and group decisions -- Extensions -- Conclusions.
    摘要、提要註: The Analytic Hierarchy Process (AHP) has been one of the foremost mathematical methods for decision making with multiple criteria and has been widely studied in the operations research literature as well as applied to solve countless real-world problems. This book is meant to introduce and strengthen the readers knowledge of the AHP, no matter how familiar they may be with the topic. This book provides a concise, yet self-contained, introduction to the AHP that uses a novel and more pedagogical approach. It begins with an introduction to the principles of the AHP, covering the critical points of the method, as well as some of its applications. Next, the book explores further aspects of the method, including the derivation of the priority vector, the estimation of inconsistency, and the use of AHP for group decisions. Each of these is introduced by relaxing initial assumptions. Furthermore, this booklet covers extensions of AHP, which are typically neglected in elementary expositions of the methods. Such extensions concern different numerical representations of preferences and the interval and fuzzy representations of preferences to account for uncertainty. During the whole exposition, an eye is kept on the most recent developments of the method.
    電子資源: http://dx.doi.org/10.1007/978-3-319-12502-2
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