Titlebook: Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems; Inversion, Displacem Irik Z. Mukhametzyanov Book 2023 T

Manifest

978-3-031-33839-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

沙發(fā)

Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems978-3-031-33837-3Series ISSN 0884-8289 Series E-ISSN 2214-7934

Corral

Introduction,A person in his activity is constantly faced with situations in which he has to make a choice from several options (alternatives, objects). Typical situations of multi-criteria choice:

Medicare

International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/n/image/668076.jpg

inveigh

chuckle

Irik Z. MukhametzyanovProvides a systematic review of multidimensional normalization methods.Includes multi-step normalization to manage data inversion method.Introduces domain displacement of normalized values and data as

手術(shù)刀

Normalization and MCDM Rank Model,non-linear normalization to eliminate the asymmetry of the original data is discussed. Examples of weak and high sensitivity of the decision from the choice of the normalization method are shown, due to the priorities of alternatives according to individual criteria.

Restenosis

exigent

The MCDM Rank Model,ents of criteria, methods for aggregating private attributes within the framework of the MCDM?rank model is presented. Given the multi-variance of methods and the absence of formalized criteria for their choice, the consistency of the solution for various MCDM models increases the reliability of the solution.

harangue