Pub Date : 2018-09-05DOI: 10.1504/IJMCDM.2018.10015565
H. Frikha, Sawsan Charfi
Multi-criteria decision making (MCDM) consists in choosing, ranking or sorting alternatives belonging to a finite set and evaluated according to several and usually conflicting criteria. Criteria weights play a crucial role in the decision process since they express the importance of the considered criteria as seen by the decision maker (DM). However, these weight values assigned directly by the DM are subjective and little reliable as they are based only on his experience, his intuition and his psychological state. To overcome the subjectivity problem, several methods are developed to infer criteria weights from DM judgments. The aim of this paper is to develop an approach eliciting ELECTRE I criteria weights using binary outranking relations furnished by the decision-maker and taking support on mathematical programming.
{"title":"Inferring an ELECTRE I model from binary outranking relations","authors":"H. Frikha, Sawsan Charfi","doi":"10.1504/IJMCDM.2018.10015565","DOIUrl":"https://doi.org/10.1504/IJMCDM.2018.10015565","url":null,"abstract":"Multi-criteria decision making (MCDM) consists in choosing, ranking or sorting alternatives belonging to a finite set and evaluated according to several and usually conflicting criteria. Criteria weights play a crucial role in the decision process since they express the importance of the considered criteria as seen by the decision maker (DM). However, these weight values assigned directly by the DM are subjective and little reliable as they are based only on his experience, his intuition and his psychological state. To overcome the subjectivity problem, several methods are developed to infer criteria weights from DM judgments. The aim of this paper is to develop an approach eliciting ELECTRE I criteria weights using binary outranking relations furnished by the decision-maker and taking support on mathematical programming.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"263-275"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44708052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-05DOI: 10.1504/IJMCDM.2018.10015562
M. A. D. V. Oliva, S. B. Amor, Jaime Manera Bassa, Isabel Caballero Lopez Fando, Ángel Delgado, Pablo de Miguel Bohoyo
Spanish public hospitals funding depends on the classification of attended pathologies. These pathologies are grouped thanks to a patient classification system (PCS) into the so-called diagnostic related groups (DRGs). International Classification of Diseases (ICD) coding systems generate various DRGs. Based on the ICD-9, the all patients diagnostic related groups (AP-DRGs) were used. In January 2016, Spain adopted ICD-10. One of the casualties from this transition was the AP-DRG PCS which did not accept information coded with ICD-10. A new system had to be adopted. In this paper we develop a methodology to assist decision-makers who are charged with evaluating and determining replacement PCS in the context of scarce resources and limited hospital funding. We ground our approach in a rigorous analytical framework is order to understand the pros and cons of candidate systems, from both clinical and managerial perspectives. We propose a multicriteria decision-aiding approach based on the outranking method, ELECTRE III to produce a ranking of the different options. The methodology is applied to a case study of a Spanish hospital where the change from ICD-9 to ICD-10 has already occurred.
{"title":"A decision aiding methodology to compare patient classification systems","authors":"M. A. D. V. Oliva, S. B. Amor, Jaime Manera Bassa, Isabel Caballero Lopez Fando, Ángel Delgado, Pablo de Miguel Bohoyo","doi":"10.1504/IJMCDM.2018.10015562","DOIUrl":"https://doi.org/10.1504/IJMCDM.2018.10015562","url":null,"abstract":"Spanish public hospitals funding depends on the classification of attended pathologies. These pathologies are grouped thanks to a patient classification system (PCS) into the so-called diagnostic related groups (DRGs). International Classification of Diseases (ICD) coding systems generate various DRGs. Based on the ICD-9, the all patients diagnostic related groups (AP-DRGs) were used. In January 2016, Spain adopted ICD-10. One of the casualties from this transition was the AP-DRG PCS which did not accept information coded with ICD-10. A new system had to be adopted. In this paper we develop a methodology to assist decision-makers who are charged with evaluating and determining replacement PCS in the context of scarce resources and limited hospital funding. We ground our approach in a rigorous analytical framework is order to understand the pros and cons of candidate systems, from both clinical and managerial perspectives. We propose a multicriteria decision-aiding approach based on the outranking method, ELECTRE III to produce a ranking of the different options. The methodology is applied to a case study of a Spanish hospital where the change from ICD-9 to ICD-10 has already occurred.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"177-194"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46257482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-05DOI: 10.1504/IJMCDM.2018.10015568
Sawsen Maalej, Nesrin Halouani, H. Chabchoub
This study focuses on the definition of risk management tools for the dialysis service due to the importance of the healthcare organisation assessment in maintaining the system performance. The latter can serve a high quality service within hospitals with patient healthy treatment and satisfaction.
{"title":"A linguistic reliable quality function deployment method for the healthcare sector","authors":"Sawsen Maalej, Nesrin Halouani, H. Chabchoub","doi":"10.1504/IJMCDM.2018.10015568","DOIUrl":"https://doi.org/10.1504/IJMCDM.2018.10015568","url":null,"abstract":"This study focuses on the definition of risk management tools for the dialysis service due to the importance of the healthcare organisation assessment in maintaining the system performance. The latter can serve a high quality service within hospitals with patient healthy treatment and satisfaction.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"276-297"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44580541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-06DOI: 10.1504/IJMCDM.2017.10008677
S. Mir, T. Padma
Overwhelmingly, surveys of agricultural DSSs (agDSSs) have revealed a general lack of support which could influence actual practice. Reasons behind DSS rejection were multiple. Accordingly, various strategies and approaches were proposed for their uptake. But developers often use their own criteria, priorities, and strategies during various developmental phases, mainly due to complex and vague nature of interactions between multiple factors describing DSS vis-a-vis, non-availability of critical success factors and their characterisation. Multiple-criteria decision making (MCDM) methods are widely used under these circumstances to facilitate systematic and lucid decision support, chalk out multiple decision outcomes and equip decision maker with confident decision choices to lead the process to its coherent ending. This research proposes a fuzzy decision support system to evaluate and prioritise critical success factors for the development of agricultural DSSs and provides an estimate of weightings, which measure the relative importance of these factors under generic multi-criteria settings. The results envisage that the proposed system supplements agDSS developers with more precise key decision support information.
{"title":"Fuzzy decision support system for evaluation and prioritisation of critical success factors for the development of agricultural DSS","authors":"S. Mir, T. Padma","doi":"10.1504/IJMCDM.2017.10008677","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.10008677","url":null,"abstract":"Overwhelmingly, surveys of agricultural DSSs (agDSSs) have revealed a general lack of support which could influence actual practice. Reasons behind DSS rejection were multiple. Accordingly, various strategies and approaches were proposed for their uptake. But developers often use their own criteria, priorities, and strategies during various developmental phases, mainly due to complex and vague nature of interactions between multiple factors describing DSS vis-a-vis, non-availability of critical success factors and their characterisation. Multiple-criteria decision making (MCDM) methods are widely used under these circumstances to facilitate systematic and lucid decision support, chalk out multiple decision outcomes and equip decision maker with confident decision choices to lead the process to its coherent ending. This research proposes a fuzzy decision support system to evaluate and prioritise critical success factors for the development of agricultural DSSs and provides an estimate of weightings, which measure the relative importance of these factors under generic multi-criteria settings. The results envisage that the proposed system supplements agDSS developers with more precise key decision support information.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"146-172"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44672656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-06DOI: 10.1504/IJMCDM.2017.10008676
Moncef Abbas, Zhor Chergui
In this paper, the problematic of MCDM methods evaluation is treated, we study in particular the behaviour of the criteria (tests) measuring the performance of these methods. Indeed, a critical study toward the series of tests proposed by Triantaphyllou is carried out. On this basis, some impossibility results are defined. In addition, a new assessment test is proposed.
{"title":"Performance of multicriteria decision making methods: study and cases","authors":"Moncef Abbas, Zhor Chergui","doi":"10.1504/IJMCDM.2017.10008676","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.10008676","url":null,"abstract":"In this paper, the problematic of MCDM methods evaluation is treated, we study in particular the behaviour of the criteria (tests) measuring the performance of these methods. Indeed, a critical study toward the series of tests proposed by Triantaphyllou is carried out. On this basis, some impossibility results are defined. In addition, a new assessment test is proposed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"116-145"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49393552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-06DOI: 10.1504/IJMCDM.2017.10008672
E. Grigoroudis
An important tool for the evaluation and documentation of a successful environmental management system is the environmental performance evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that, using indicators, evaluates the environmental management system of an organisation and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however, they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry.
{"title":"Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach","authors":"E. Grigoroudis","doi":"10.1504/IJMCDM.2017.10008672","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.10008672","url":null,"abstract":"An important tool for the evaluation and documentation of a successful environmental management system is the environmental performance evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that, using indicators, evaluates the environmental management system of an organisation and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however, they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"91-115"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47290156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-17DOI: 10.1504/IJMCDM.2017.085163
F. Battisti, M. Guarini
'Public interest' has always been a necessary and unavoidable condition in Public-Private Partnership negotiated-type (PPPN), introduced in the Italian law in 1992. However, only in 2014 that the meaning of public interest has been clarified through art. 17.1 letter g) of Law no. 164'2014, by matching it with an extraordinary contribute of urbanisation. In this law the extraordinary contribution is defined by taking into account only the purely financial criteria. Instead, European Directives and case law reaffirmed the multi-dimensional connotation of public interest. The aim of this work is the construction of an evaluation multi-criteria procedure enabling a municipality to evaluate the public interest of a PPPN initiative, by considering heterogeneous financial, procedural, socio-economic, environmental, technical components. The procedure is applicable in the European context where PPPN shall apply; to test its operational capacity it will be applied to a case study: the Integrated Action Programme in Mentana (RM).
{"title":"Public interest evaluation in negotiated public-private partnership","authors":"F. Battisti, M. Guarini","doi":"10.1504/IJMCDM.2017.085163","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.085163","url":null,"abstract":"'Public interest' has always been a necessary and unavoidable condition in Public-Private Partnership negotiated-type (PPPN), introduced in the Italian law in 1992. However, only in 2014 that the meaning of public interest has been clarified through art. 17.1 letter g) of Law no. 164'2014, by matching it with an extraordinary contribute of urbanisation. In this law the extraordinary contribution is defined by taking into account only the purely financial criteria. Instead, European Directives and case law reaffirmed the multi-dimensional connotation of public interest. The aim of this work is the construction of an evaluation multi-criteria procedure enabling a municipality to evaluate the public interest of a PPPN initiative, by considering heterogeneous financial, procedural, socio-economic, environmental, technical components. The procedure is applicable in the European context where PPPN shall apply; to test its operational capacity it will be applied to a case study: the Integrated Action Programme in Mentana (RM).","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"54-89"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2017.085163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43850211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-17DOI: 10.1504/IJMCDM.2017.10006029
Matthew G. Gilbert, S. French, Jim Q. Smith
This paper investigates measuring the influence of some group members on others in decision making. Being better able to identify potentially influential behaviour would be useful in supporting and subsequently auditing a decision. A new measure of the influence of individuals is given, which is analogous to the well-known Cook's distance used to identify influential data in regression. The theoretical properties of this measure are explored. A simple method to identify sub-groups within the group of decision makers is given. We investigate the efficiency of our new measures using large scale randomised studies. We use these measures to identify sub-groups of individuals with similar beliefs in a data set collected in a previous experiment.
{"title":"Influence of group members in multi-attribute utilities","authors":"Matthew G. Gilbert, S. French, Jim Q. Smith","doi":"10.1504/IJMCDM.2017.10006029","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.10006029","url":null,"abstract":"This paper investigates measuring the influence of some group members on others in decision making. Being better able to identify potentially influential behaviour would be useful in supporting and subsequently auditing a decision. A new measure of the influence of individuals is given, which is analogous to the well-known Cook's distance used to identify influential data in regression. The theoretical properties of this measure are explored. A simple method to identify sub-groups within the group of decision makers is given. We investigate the efficiency of our new measures using large scale randomised studies. We use these measures to identify sub-groups of individuals with similar beliefs in a data set collected in a previous experiment.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"1-28"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49593764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-03DOI: 10.1504/IJMCDM.2017.085154
A. Kolios, A. Umofia, M. Shafiee
Failure mode and effects analysis (FMEA) is one of the most common reliability engineering techniques used for identifying, evaluating and mitigating the engineering risks. In this paper, the potential failure modes of a subsea control module (SCM) are identified based on industry experts' opinions and experiences. This is followed by a comprehensive component based FMEA study using the risk-priority-number (RPN) where the most critical failure modes in the SCM are revealed. A fuzzy TOPSIS-based multiple criteria decision making methodology is then proposed to analyse and prioritise the most critical failure modes identified by the FMEA study. To this aim, a distinct ten-parameter criticality model is developed and, for the first time, is applied to evaluate the risks associated with SCM failures. The results indicate that the proposed fuzzy TOPSIS model can significantly improve the performance and applicability of the conventional FMEA technique in offshore oil and gas industry.
{"title":"Failure mode and effects analysis using a fuzzy-TOPSIS method: a case study of subsea control module","authors":"A. Kolios, A. Umofia, M. Shafiee","doi":"10.1504/IJMCDM.2017.085154","DOIUrl":"https://doi.org/10.1504/IJMCDM.2017.085154","url":null,"abstract":"Failure mode and effects analysis (FMEA) is one of the most common reliability engineering techniques used for identifying, evaluating and mitigating the engineering risks. In this paper, the potential failure modes of a subsea control module (SCM) are identified based on industry experts' opinions and experiences. This is followed by a comprehensive component based FMEA study using the risk-priority-number (RPN) where the most critical failure modes in the SCM are revealed. A fuzzy TOPSIS-based multiple criteria decision making methodology is then proposed to analyse and prioritise the most critical failure modes identified by the FMEA study. To this aim, a distinct ten-parameter criticality model is developed and, for the first time, is applied to evaluate the risks associated with SCM failures. The results indicate that the proposed fuzzy TOPSIS model can significantly improve the performance and applicability of the conventional FMEA technique in offshore oil and gas industry.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"29-53"},"PeriodicalIF":0.0,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2017.085154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48474820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-13DOI: 10.1504/IJMCDM.2016.079712
Dimitri Van Assche, Y. D. Smet
In multi-criteria sorting methods, it is often difficult for decision makers to precisely define their preferences. It is even harder to express them into parameters values. The idea of this work is to automatically find the parameters of a sorting model using classification examples in the contexts of traditional sorting and interval sorting. Interval sorting, i.e., the possible assignment of alternatives into several successive categories, is defined in this paper. The sorting method we are working with is FlowSort, which is based on the PROMETHEE methodology. Starting with an evaluation table and known allocations, we propose a heuristic based on a genetic algorithm (GA) to identify the weights, indifference and preference thresholds but also profiles characterising the categories. We illustrate both the performances of the algorithm and the quality of the solutions on three standard datasets in both cases.
{"title":"FlowSort parameters elicitation based on categorisation examples","authors":"Dimitri Van Assche, Y. D. Smet","doi":"10.1504/IJMCDM.2016.079712","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.079712","url":null,"abstract":"In multi-criteria sorting methods, it is often difficult for decision makers to precisely define their preferences. It is even harder to express them into parameters values. The idea of this work is to automatically find the parameters of a sorting model using classification examples in the contexts of traditional sorting and interval sorting. Interval sorting, i.e., the possible assignment of alternatives into several successive categories, is defined in this paper. The sorting method we are working with is FlowSort, which is based on the PROMETHEE methodology. Starting with an evaluation table and known allocations, we propose a heuristic based on a genetic algorithm (GA) to identify the weights, indifference and preference thresholds but also profiles characterising the categories. We illustrate both the performances of the algorithm and the quality of the solutions on three standard datasets in both cases.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"191-210"},"PeriodicalIF":0.0,"publicationDate":"2016-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.079712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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