Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with

Description: Multi-Criteria and Multi-Dimensional Analysis in Decisions by Kesra Nermend A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. FORMAT Hardcover CONDITION Brand New Publisher Description A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the authors own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management. Author Biography Kesra Nermend is Professor and Head of the Department of Decision Support Methods and Cognitive Neuroscience; and President of the Centre for Knowledge and Technology Transfer at the Institute of Management, University of Szczecin (Szczecin, Poland). His scientific interests are related to the use of quantitative methods and IT tools in the analysis of socio-economic processes, with particular emphasis on multi-criteria methods, multidimensional data analysis, cognitive neuroscience techniques in researching social behavior and modeling consumer preference in the process of making business decisions. He has published over 130 publications in Polish and English languages including 20 monographs. Table of Contents Chapter 1 Introduction.- Chapter 2 Problems of multi-criteria and multidimensionality in decision support.- Part I: Methods of multidimensional comparative analysis.- Chapter 3 Initial data analysis procedure.- Chapter 4 Methods for building aggregate measures.- Part II: Multi-criteria decision support methods.- Chapter 5 Methods based on the outranking relationship.- Chapter 6 Methods based on the utility function.- Chapter 7 Multi-criteria methods using function points.- Chapter 8 Conclusions. Details ISBN3031405374 Author Kesra Nermend Publisher Springer International Publishing AG Series Vector Optimization Year 2023 Edition 1st ISBN-13 9783031405372 Format Hardcover Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Translated from Polish Alternative 9783031405402 Audience Professional & Vocational Edition Description 1st ed. 2023 Pages 354 Illustrations 120 Illustrations, black and white; XVI, 354 p. 120 illus. Subtitle Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) Publication Date 2023-11-01 DEWEY 658.4033 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159743753;

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