Catalogue


Why don't we kiss!? : a contribution to close the gap between real-world decision makers and theoretical decision-model builders /
Wim de Keyset, Johan Springael.
imprint
[Antwerp] : University Press Antwerp, 2010.
description
x, 328 p. : ill. + 1 CD-ROM (3 3/4 in).
ISBN
9054876131, 9789054876137
format(s)
Book
Holdings
Subjects
More Details
added author
imprint
[Antwerp] : University Press Antwerp, 2010.
isbn
9054876131
9789054876137
catalogue key
7162168
 
Includes bibliographical references and index.
A Look Inside
About the Author
Author Affiliation
Wim De Keyser has a large experience in the field of decision making, not only from an academic point of view but also as manager and as consultant. Belonging to both worlds-academic model and method builder on the one hand and real world decision maker on the other hand - puts him in a unique bridging position Johan Springael is Professor at the Department Environment, Technology and Technology Management of the Faculty of Applied Economics of the University of Antwerp teaching Operations Research courses. His research interests are situated within the field of decision making, more specifically decision making based on multiple criteria in complex societal situations.
Summaries
Main Description
Decision theory renders the human decision maker the centre of attention: observing, describing how he makes decisions and leading him by the hand in an attempt to prevent him from taking 'illogical' decisions. Literature and scientific publications on decision theory should be accessible and understandable to the average decision maker but this is almost never the case since these methods and models are too complex and/or require input from the decision maker which makes him feel uncomfortable. The result is that most decision makers turn their back on scientific approaches and prefer to use common sense and 'rules of thumb' when facing decision problems.
Main Description
Espousing a methodology of KISS--keep it simple, stupid--this text provides accessible guidelines for making sound and logical decisions, as an individual or as a group. Shunning overly complex practices, this resource proposes several simple methods in the field of decision making, resulting from close contacts with real world decision makers. Numerous field cases are used to illustrate the methods, and the accompanying CD-ROM provides readers with a quick start to applying the methods to their own real world decisions. The CD-ROM's two business applications, ARGUS and AURORA, help users make multiple criteria decisions in countless real-world situations.
Main Description
Espousing a methodology of KISSkeep it simple, stupidthis text provides accessible guidelines for making sound and logical decisions, as an individual or as a group. Shunning overly complex practices, this resource proposes several simple methods in the field of decision making, resulting from close contacts with real world decision makers. Numerous field cases are used to illustrate the methods, and the accompanying CD-ROM provides readers with a quick start to applying the methods to their own real world decisions. The CD-ROM's two business applications, ARGUS and AURORA, help users make multiple criteria decisions in countless real-world situations.
Table of Contents
All about KISSp. 1
The KISS-principlep. 3
What is KISS?p. 3
But what is simple?p. 4
Selling old ideas as new?p. 4
KISS and decision theoryp. 5
KISS and ethicsp. 12
Structure of this bookp. 13
The human decision makerp. 15
Introductionp. 15
Relevant domains, fields and areasp. 16
Can a human being be a reliable measurement instrument?p. 18
Conclusionp. 27
KISS and Multiple Criteria Decision Makingp. 29
An introduction to Multiple Criteria Decision Makingp. 31
What is MCDM?p. 31
The aim of multicriteria decision makingp. 35
Modelling ôthe way the decision maker looks at the multicriteria problemöp. 36
A classification tool of MCDM methodsp. 41
Introductionp. 41
Classification principlep. 41
Classification dimensionsp. 42
Classification tablep. 46
Alphabetical list of the mentioned methodsp. 47
Classification tool and KISSp. 53
Classification tool and ethicsp. 54
Conclusionp. 54
The ARGUS-methodp. 57
A brief guide to the ARGUS-methodp. 57
Concepts and ideasp. 57
The ARGUS-method step by stepp. 65
Demonstration case: site selectionp. 77
Field case: Selection of the publicity agency for the advertising campaign Vlaanderendag 2003p. 84
ARGUS and KISSp. 88
ARGUS and ethicsp. 89
ARGUS-softwarep. 90
The AURORA-methodp. 91
A brief guide to the AURORA-methodp. 91
Concepts and ideasp. 91
The AURORA-method step by stepp. 93
Demonstration case: site selectionp. 99
Field case: Prioritisation of policy options with respect to research results on human biomonitoringp. 104
AURORA and KISSp. 107
AURORA and ethicsp. 108
AURORA-softwarep. 109
KISS and Group Decision Makingp. 111
MCDM model-based GDMp. 113
What is MCDM model-based GDM?p. 113
MCDM model-based GDM nowadaysp. 115
The different types of MCDM model-based GDM approachesp. 115
ARGUS-based GDMp. 123
Introductionp. 123
First type of MCDM model-based GDMp. 123
Field casesp. 124
Second type MCDM model-based GDMp. 129
Field case: ôMultidisciplinary study on reducing air pollution from transportöp. 132
Third type MCDM model-based GDMp. 145
Conclusionsp. 145
A new MCDM model-based GDMp. 147
A new approachp. 147
An appropriate measure for comparing rankingsp. 149
The combinatorial optimisation problemp. 151
The impact of freedom on several aspects of a MCDM model-based GDMp. 152
Resultsp. 156
Also KISS?p. 157
Clustering decision makersp. 159
Introductionp. 159
Clustering principlep. 159
Field case: ôSUSATRANS-projectöp. 160
Another KISS?p. 168
The ôMultiple-group decision making problemöp. 169
Introductionp. 169
Needs and reasons for a new type of decision problemp. 169
Layout of the M-GDM problemp. 170
How to handle a M-GDM problem?p. 171
Preferred approachp. 177
Field case: ôSUSATRANS-projectöp. 180
Conclusionp. 182
Extensionsp. 183
What if?p. 183
No complete ranking requiredp. 183
Missing datap. 184
KISS?p. 188
Other fields of applicationp. 189
Juryp. 189
Avoid group discussions amongst managersp. 203
Different tests give different rankingsp. 210
KISS, yes we can!p. 211
So, we can KISS if we want!p. 213
KISS helpsp. 213
More than just a book: free softwarep. 213
What's next?p. 214
Bibliographyp. 217
Appendicesp. 227
ôDecision maker'sö Dominancep. 229
Introductionp. 229
Another kind of dominance relationp. 229
How to identify?p. 230
Reference?p. 231
Kendall's tau vs Spearman's rhop. 233
Introductionp. 233
Kendall's rank correlation coefficientp. 234
Spearman's rank correlation coefficientp. 238
Respect for the level of measurementp. 242
Piecewise rank correlation coefficientsp. 242
Conclusionsp. 246
A note on Kendall's ¿ for tiesp. 249
Kendall's rank correlation coefficientp. 249
Division by zerop. 249
Correctionp. 250
Conclusionp. 251
Scale types or levels of measurementp. 253
Definition of ôto measureöp. 253
Four characteristics - four scale typesp. 253
How to determine the level of measurementp. 254
Some examplesp. 255
Admissible mathematical operationsp. 256
Commonly made mistakep. 256
Algorithms and heuristicsp. 257
Introductionp. 257
An algorithmp. 258
Heuristicsp. 273
The metaheuristic method ôSimulated annealingöp. 277
Putting a heuristic in chain with the algorithmp. 283
Time complexityp. 285
Simulations (No Ties)p. 287
Test battery of problemsp. 287
Resultsp. 287
Can these results give an answer to certain questions?p. 287
Greyp. 293
In the pressp. 295
Juryp. 295
Levels of measurementp. 298
Combined preference structure ARGUSp. 301
Logical prerequisitesp. 301
Complete rankingsp. 302
Ranking according to ôiso-rank-linesöp. 303
Ranking by iso-rank-zonesp. 304
Examplep. 306
Advicep. 308
Aggregation type 2 ARGUS-based GDMp. 309
Need for an aggregation pointp. 309
First potential aggregation pointp. 309
Second potential aggregation pointp. 311
Selection of aggregation pointp. 311
Details clustering approachp. 313
Introductionp. 313
Calculations Ecological aspectp. 313
Cluster representativep. 316
List of Tablesp. 319
List of Figuresp. 325
Indexp. 327
Table of Contents provided by Ingram. All Rights Reserved.

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