Preference Disaggregation in Multiple Criteria Decision Analysis PDF
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Multiple Criteria Decision Making Nikolaos Matsatsinis Evangelos Grigoroudis Editors Preference Disaggregation in Multiple Criteria Decision Analysis Essays in Honor of Yannis Siskos Multiple Criteria Decision Making Serieseditor ConstantinZopounidis TechnicalUniversityofCrete SchoolofProductionEngineeringandManagement Chania Greece This book series focuses on the publication of monographs and edited volumes of wide interest for researchers and practitioners interested in the theory of multicriteriaanalysisanditsapplicationsinmanagementandengineering.Thebook series publishes novel works related to the foundations and the methodological aspects of multicriteria analysis, its applicationsin differentareas in management and engineering, as well as its connections with other quantitative and analytic disciplines. Inrecentyears,multicriteriaanalysishasbeenwidelyusedfordecisionmaking purposes by institutions and enterprises. Research is also very active in the field, with numerous publications in a wide range of publication outlets and different domains such as operations management, environmental and energy planning, financeandeconomics,marketing,engineering,andhealthcare. Moreinformationaboutthisseriesathttp://www.springer.com/series/13834 Nikolaos Matsatsinis • Evangelos Grigoroudis Editors Preference Disaggregation in Multiple Criteria Decision Analysis Essays in Honor of Yannis Siskos 123 Editors NikolaosMatsatsinis EvangelosGrigoroudis TechnicalUniversityofCrete TechnicalUniversityofCrete Chania,Greece Chania,Greece ISSN2366-0023 ISSN2366-0031 (electronic) MultipleCriteriaDecisionMaking ISBN978-3-319-90598-3 ISBN978-3-319-90599-0 (eBook) https://doi.org/10.1007/978-3-319-90599-0 LibraryofCongressControlNumber:2018940728 ©SpringerInternationalPublishingAG,partofSpringerNature2018 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbytheregisteredcompanySpringerInternationalPublishingAGpart ofSpringerNature. Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This volume is a Festschrift in honor of Yannis Siskos on the occasion of his retirement. YannisSiskosstudiedmathematicsattheUniversityofAthens,Greece.Hethen wenttoFranceforPhDstudieswithascholarshipofUNESCOandreceivedhisPhD degree in computer science and operations research from the University of Pierre andMarieCurie(PARISVI,1979).From1981to1984,hetaughtattheUniversity of Paris-Dauphine, at the rank of Maître de Conférence, where he fulfilled the State PhD (Doctorat d’Etat) in management sciences. He was Professor in the field of “Science of Decision Making” at the School of Production Engineering v vi Preface and Management of the Technical University of Crete, Greece (1984–2001), and attheDepartmentofInformatics,UniversityofPiraeus,Greece(2001–2015),from whereheretired.Hehasalso taughtintheTechnicalSchoolsofTurin,Ecolesdes Mines of Nancy,and Arts et Métiers of Paris and at the Universitiesof Laval and Montreal of Canada, Aix-Marseille II, Rouen, Brussels, and Cyprus as well as in the PhD programsof the NationalTechnicalUniversity of Athens and the Athens UniversityofEconomicsandBusiness.YannisSiskosreceivedHonoraryDoctorate fromtheDepartmentofBusinessandAdministration,PiraeusUniversityofApplied Sciences,andhehasbeenelectedasEmeritusProfessorattheSchoolofProduction EngineeringandManagement,TechnicalUniversityofCrete. Forseveralyears,hehasbeenchairmanattheSchoolofProductionEngineering and Management, Technical University of Crete, where he founded the first laboratoryofDecision SupportSystemsin Greece. From1993to 1997,he served asVice-RectoroftheTechnicalUniversityofCrete.HehasalsoservedasPresident oftheHellenicOperationalResearchSociety(HELORS)andasVice-Presidentof theInternationalFederationofOperationalResearchSocieties(IFORS),andhewas the founder,and coordinatorfor over20 years, of the Hellenic Working Groupof HELORSin“MultipleCriteriaDecisionMaking.” Yannis Siskos received in 2005 the National Award and Gold Medal of the HELORSforhiscontributiontotheprogressofoperationalresearch.Hehasbeen honored with the highest distinction in the field of multicriteria decision making in2015,theGoldMedaloftheInternationalSocietyonMultipleCriteriaDecision Making.Sinceitsestablishment,YannisSiskosisthefirstGreekscientistwhohas received this medal for his contribution to the evolution of multicriteria decision making through his long-term research and in particular his contribution to the development of new theories, models, methodologies, and scientific applications of decisions in modern management. In 2016, he also received the Distinguished Service Medal (EDSM Award) from the Association of European Operational ResearchSocieties(EURO)intheareaofoperationalresearch.YannisSiskosisthe firstGreekscholarwhoreceivedtheEDSMAward,whichisthehighestrecognition inEuropeofdistinguishedservicetotheEuropeanoperationalresearchcommunity. The main contributionsof YannisSiskos focuson two interrelated areas in the fieldofmultiplecriteriadecisionaid: • Developmentofaggregation–disaggregationapproaches • Real-world applications of multicriteria decision aid tools in the marketing problems Inthefirstarea,YannisSiskos,withthecollaborationofothercolleaguesinthis field,developedtheUTAfamilyofmethods,asthemostfamousandcharacteristic example of aggregation–disaggregationapproaches. The UTA methods originated an entire family of preference disaggregation models in customer satisfaction evaluation (e.g., MUSA method), business excellence (e.g., MUSABE method), ordinal regression (e.g., ROR), and many others. At the occasion of the 30th anniversary of EURO, the European Journal of Operational Research (EJOR) selected the original publication of the UTA method by Yannis Siskos and Eric Preface vii Jacquet-Lagrèzeas one of the most “influential” articles publishedin EJOR since itsbeginning. In the second area, the passion of Yannis Siskos for real-world applications motivatedhimtodevelopnovelapproachesinseveralmarketingproblems,includ- ing consumer behavior analysis and simulation, customer satisfaction evaluation, etc. His contributionin this field is extremelyimportantand, given the noveltyof modelingreal-worldsituations,showshowmulticriteriadecisionaidtoolsmaybe appliedinfieldslikemarketing,whichattractedrelativelylowerattentionbeforeby operationalresearchers. Yannis Siskos is one of the pioneers of multiple criteria decision making worldwide.Hisworkonthefieldofpreferencedisaggregationcontinuestomotivate scholarsacrossthe world to developnew methodsandapproachesand use opera- tionalresearch tools in real-worldapplications.At the same time, his influence in theGreekoperationalresearchsocietyhasbeenextremelystrong,notonlythrough the positions he held in HELORS during his active career but also through the supervisions of numerous doctoral, postgraduate, and undergraduatestudents and the collaborationswith other Greekscholars. YannisSiskoshas supervisedand/or collaborated with most authors of this edited volume during their PhD studies, while many of his doctoral students currently hold academic positions in several distinguished academic and research institutions. Thus, his work and ideas will continue to influence new researchers in the field of preference disaggregation modelingandanalysis. The main theme of this edited volume is preference disaggregation, the main contribution of Yannis Siskos in the operationalresearch field. The previousvery brief biographicalsketch is notable to reflect the real influence of Yannis Siskos, andthereforethisvolume,includingsomeindicativeworksinthefieldofpreference disaggregation,tries to presentseveralalternativemethodsandapplicationsof the aggregation–disaggregationparadigm. In addition to this short Preface, followed by a list of selected publications of Yannis Siskos, this volume consists of ten chapters. The first chapter by Alberto Colorni and Alexis Tsoukiàs presents a general framework for the design of alternativesindecision-makingproblems.Thisisoneofthefundamentalproblems inpreferencedisaggregation,wheretheclarificationofthedecisionmakers’global preferencenecessitatestheuseofasetofreferenceactions.Thechapteralsoaims at providing archetypes for the design of algorithms supporting the generation of alternativesinageneralcontext. The second chapter by Nikos Tsotsolas and Spiros Alexopoulos discusses how facilitated forms of multicriteria decision aid could tackle different aspects associatedwith strategic decisionmakingand provideeffectivesupportin dealing withtherobustnessofstrategicdecisionsindesigningcomplexstrategieswithlong- term consequences. The authors address the seeming paradox, i.e., how can we evaluate the rationality of our decisions today, if the most important fact that we knowaboutfuture conditionsis that they are unknowable,and suggest robustness analysis as a way of supporting strategic decision making when dealing with viii Preface uncertainties and ignorance. They also present case studies where multicriteria decisionaidinghasbeenusedtotacklestrategicdecisionproblems. Thenextchapterisdevotedtocollaborativedecisionmaking.AthanasiosSpyri- dakos and Denis Yannacopoulos proposed the exploitation of UTA methods and votingcollectivefunctionsof socialchoicetheoryin orderto supportthe decision aidprocessinamulti-agentdecisionenvironment.Theyillustratetheapplicability of the proposed approach through the use of the RACES system, which has been developed to support small group decision aid process, along with the MINORA andtheMIIDASdecisionsupportsystems. ThefourthchapterbyMichalisDoumposandConstantinZopounidispresentsan overviewofthepreferencedisaggregationtechniquesinmulticriteriaclassification. Classification problems refer to the assignment of a given set of alternatives into predefined categories/classes. In this context, preference disaggregation provides a valuable basis for facilitating the construction of appropriate models using a data-drivenprocess.Thepresentedoverviewcoversthe differenttypesofdecision modelsanddiscussesthealternativeapproachesused formodelinference,as well asrobustnessissues. The fifth chapter presents an overview of multiple criteria approaches in the customersatisfactionevaluationproblem.EvangelosGrigoroudisandYannisPolitis emphasize that customer satisfaction can be perceived as a multicriteria evalu- ation problem, where the overall satisfaction with the provided service/product depends on a set of satisfaction criteria. The chapter presents an overview of recent developments in the context of the MUSA method, which is a collective preference disaggregation model following the principles of ordinal regression analysisapproach.Theauthorsalsodiscussalternativeformulationsofthecustomer satisfactionevaluationproblemandpresentothermulticriteriadecisionaidmethods used,likeoutrankingapproaches. ThenextchapterbyIsaakVryzidis,AthanasiosSpyridakos,andNikosTsotsolas presents a methodological framework for project portfolio selection, combining the UTASTAR algorithm with a 0-1 multiobjective linear programming. The authors emphasize the complexity of this portfolio selection problem, given that the effectiveness of the resulting portfolio of projects is directly linked with the availability of resources, the social/economic environment, the efficiency of the project implementation teams, the overall strategic planning of the organization, etc.Thechapteralsodiscusseshowstochasticcriteriamaybeconsideredinorderto evaluatealternativeprojectsunderuncertaintyandpresentsacasestudyforaproject portfolioselectionprobleminacontractionfirm. The seventh chapter by Stelios Antoniades, Nikolaos Christodoulakis, Pavlos Delias, and Nikolaos Matsatsinis presents an application of the aggregation– disaggregation paradigm in crude oil pipeline risk management. They emphasize thatpipelineriskmanagementisaprimaryconcernforoilandgascompanies,given thesevereconsequencesonpeople’sproperties,humanhealth,andtheenvironment. The authors applied the stochastic UTA method in order to assess the risk of every part of a crude oil pipeline. The proposed approach considers the multiple Preface ix dimensionsoftheexaminedproblem,whileitisabletodealwiththeuncertainties inthecriteriameasurementsandaggregatethepreferencesofmultipleexperts. The nextpaperaimsto explorehowthe preferencedisaggregation–aggregation paradigmcansupportdecisionmakinginenergypolicydesignandimplementation. Alexandros Nikas, Haris Doukas, Eleftherios Siskos, and John Psarras present a detailed literature review of multicriteria analysis applications in this domain and emphasizetheresearchgapregardingtheapplicationofpreferencedisaggregation approachesinenergypolicy.TheauthorsproposetheapplicationoftheUTASTAR methodinorderto examinethepotentialdevelopmentofcleanelectricityprojects throughthecooperationbetweenEuropeanUnionmemberstatesand22neighbor- ing countries,with which the Unionhas alreadyestablishedties toward economic andenergymarketintegration. The ninth chapter by Pavlos Delias, Evangelos Grigoroudis, and Nikolaos Matsatsinis presents an application of the MUSA method for developingregional tourismstrategies.Theauthorsdiscusstheresultsofalarge-scaletouristsatisfaction surveyinordertoprovideregionalpolicymakerswithastrategicplanforatouristic destination strategy. The results of the MUSA method have been combined with loyalty data and demographic statistics in order to examine the heterogeneity of tourists and develop a SWOT analysis. The suggested plan focuses on potential improvements to the offered regional tourism product that may increase tourists’ satisfactionandloyalty. The last chapter of this edited volume presents a framework for analyzing perceivedquality of healthcareservices by combiningthe MUSA methodand the theory of attractive quality. In this context, Evangelia Krassadaki and Evangelos Grigoroudispresentareal-worldstudyanalyzingthesatisfactionofcitizensfroma publichospitalintermsoftheperceivedqualityofitscharacteristics.Thepresented results focus mainly on the classification of the examined quality characteristics into the main categories of the Kano’s theory of attractive quality (i.e., attractive, expected,anddesiredquality). We would like to sincerely thank all the contributing authors who submitted papers. Their contribution has been essential in developing this volume, and we wereimpressedbytheirwillingnesstoparticipateinthisproject.Thiswillingness highlights and reflects the great impact of Yannis Siskos’ works and ideas on the multicriteria decision aid community. We also wish to acknowledge the valuable help of Dr. Christina Diakaki for editing several parts of this volume. Finally, we would like to extend our sincere thanks to Springer Executive Editor, Christian Rauscher,forhispatienceandencouragementduringthepreparationofthisbook. Chania,Greece NikolaosMatsatsinis December2017 EvangelosGrigoroudis
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