Pub Date : 2016-10-13DOI: 10.1504/IJMCDM.2016.10000583
L. Anojkumar, M. Ilangkumaran, S. Hassan
Material selection is one of the most predominant activities in design process. In a successful product design, selection of material plays a vital role. As various alternatives are available, selecting the best among them which satisfies the manufacturer's requirement becomes more complex and time consuming. To choose an appropriate material with several criterion is a multi-objective task and it is a multi criteria decision making (MCDM) problem. This paper encompasses the use of preference ranking organisation method for enrichment evaluation (PROMETHEE) integrated with analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) for the successful material selection. The FAHP and AHP are used to identify the criterion weight and PROMETHEE II is employed to rank alternatives. In this work, seven attributes and five stainless steel grades are focussed for optimised selection. The obtained results are contrasted to show the effectiveness of FAHP over the traditional AHP.
{"title":"An integrated hybrid multi-criteria decision making technique for material selection in the sugar industry","authors":"L. Anojkumar, M. Ilangkumaran, S. Hassan","doi":"10.1504/IJMCDM.2016.10000583","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.10000583","url":null,"abstract":"Material selection is one of the most predominant activities in design process. In a successful product design, selection of material plays a vital role. As various alternatives are available, selecting the best among them which satisfies the manufacturer's requirement becomes more complex and time consuming. To choose an appropriate material with several criterion is a multi-objective task and it is a multi criteria decision making (MCDM) problem. This paper encompasses the use of preference ranking organisation method for enrichment evaluation (PROMETHEE) integrated with analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) for the successful material selection. The FAHP and AHP are used to identify the criterion weight and PROMETHEE II is employed to rank alternatives. In this work, seven attributes and five stainless steel grades are focussed for optimised selection. The obtained results are contrasted to show the effectiveness of FAHP over the traditional AHP.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"247-268"},"PeriodicalIF":0.0,"publicationDate":"2016-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696340","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.2016.079714
J. Hubinont
PROMETHEE and GAIA are well-known multiple criteria decision aid methods. Given an evaluation table and preference parameters they allow to rank the alternatives, to visualise the problem, to perform sensitivity and robustness analysis, etc. Unfortunately, it is often hard for the decision maker (DM) to estimate the precise values of these parameters. Therefore an alternative option is to give ranges of potential values in order to apply stochastic multi-criteria acceptability analysis. This has been recently studied in the context of the SMAA-PROMETHEE method. The aim of this contribution is to propose a SMAA extension of GAIA. We show how this tool can be useful and provide complementary information to SMAA-PROMETHEE. This is illustrated on a pedagogical example.
{"title":"SMAA-GAIA: a complementary tool of the SMAA-PROMETHEE method","authors":"J. Hubinont","doi":"10.1504/IJMCDM.2016.079714","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.079714","url":null,"abstract":"PROMETHEE and GAIA are well-known multiple criteria decision aid methods. Given an evaluation table and preference parameters they allow to rank the alternatives, to visualise the problem, to perform sensitivity and robustness analysis, etc. Unfortunately, it is often hard for the decision maker (DM) to estimate the precise values of these parameters. Therefore an alternative option is to give ranges of potential values in order to apply stochastic multi-criteria acceptability analysis. This has been recently studied in the context of the SMAA-PROMETHEE method. The aim of this contribution is to propose a SMAA extension of GAIA. We show how this tool can be useful and provide complementary information to SMAA-PROMETHEE. This is illustrated on a pedagogical example.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"237-246"},"PeriodicalIF":0.0,"publicationDate":"2016-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.079714","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696191","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.2016.10000532
Imre Keseru, Jeroen Bulckaen, C. Macharis
Urban mobility strategy-making usually involves a large number of stakeholders with diverse objectives. Therefore, participatory decision-making is a time-consuming and resource-intensive process. This paper discusses how the multi-actor multi-criteria analysis (MAMCA) methodology complemented with an electronic group decision support system (GDSS) can contribute to a well-structured decision-making process to come to a commonly supported mobility policy. The proposed approach is demonstrated through a workshop in Leuven, Belgium where four scenarios to improve mobility in the city centre were evaluated based on the preferences of 34 stakeholders. Our findings show that criteria weighting, the set-up of the evaluation matrix, the ranking of alternatives and implementation can be enhanced with our approach. The proposed workshop setting provides an opportunity for stakeholders to interactively weight and evaluate scenarios in an online software tool, while interacting with each other in a workshop setting. Further improvements of the process in terms of finding a compromise are also proposed.
{"title":"The multi-actor multi-criteria analysis in action for sustainable urban mobility decisions: the case of Leuven","authors":"Imre Keseru, Jeroen Bulckaen, C. Macharis","doi":"10.1504/IJMCDM.2016.10000532","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.10000532","url":null,"abstract":"Urban mobility strategy-making usually involves a large number of stakeholders with diverse objectives. Therefore, participatory decision-making is a time-consuming and resource-intensive process. This paper discusses how the multi-actor multi-criteria analysis (MAMCA) methodology complemented with an electronic group decision support system (GDSS) can contribute to a well-structured decision-making process to come to a commonly supported mobility policy. The proposed approach is demonstrated through a workshop in Leuven, Belgium where four scenarios to improve mobility in the city centre were evaluated based on the preferences of 34 stakeholders. Our findings show that criteria weighting, the set-up of the evaluation matrix, the ranking of alternatives and implementation can be enhanced with our approach. The proposed workshop setting provides an opportunity for stakeholders to interactively weight and evaluate scenarios in an online software tool, while interacting with each other in a workshop setting. Further improvements of the process in terms of finding a compromise are also proposed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"11 1","pages":"211-236"},"PeriodicalIF":0.0,"publicationDate":"2016-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696327","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 : 2016-07-25DOI: 10.1504/IJMCDM.2016.077870
Daniel Yanushevsky, R. Yanushevsky
The paper shows how to overcome practical difficulties of using the results of modern portfolio theory linked with high dimensions and the insufficient amount of information available about the input parameters, the factors that make the optimal solution unrobust. The modified mean-variance optimisation model shows that Markowitz's portfolio can be improved. The generalised optimal portfolio problem is formulated as a multicriteria problem. The performance index that presents linear convolution of the chosen criteria is considered. The closed-form solution is given under assumption that net short sales are allowed. In contrast to several known pure mathematical regularisation approaches applied to the portfolio selection problem, the considered portfolio model includes the average trading volume of shares of the portfolio's security for a specified period of time measured as a percentage of its total float number of shares, which is used to quantify the portfolio's components based on their potential price increase. The offered additional criterion, which has a clear economic interpretation allows investors to build portfolios that are more robust compared to mean-variance portfolios.
{"title":"Multicriteria portfolio selection problem: robust assets allocation","authors":"Daniel Yanushevsky, R. Yanushevsky","doi":"10.1504/IJMCDM.2016.077870","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.077870","url":null,"abstract":"The paper shows how to overcome practical difficulties of using the results of modern portfolio theory linked with high dimensions and the insufficient amount of information available about the input parameters, the factors that make the optimal solution unrobust. The modified mean-variance optimisation model shows that Markowitz's portfolio can be improved. The generalised optimal portfolio problem is formulated as a multicriteria problem. The performance index that presents linear convolution of the chosen criteria is considered. The closed-form solution is given under assumption that net short sales are allowed. In contrast to several known pure mathematical regularisation approaches applied to the portfolio selection problem, the considered portfolio model includes the average trading volume of shares of the portfolio's security for a specified period of time measured as a percentage of its total float number of shares, which is used to quantify the portfolio's components based on their potential price increase. The offered additional criterion, which has a clear economic interpretation allows investors to build portfolios that are more robust compared to mean-variance portfolios.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"101-111"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.077870","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696374","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 : 2016-07-25DOI: 10.1504/IJMCDM.2016.077880
B. Roy
The purpose of this short paper is to underscore some sources of confusion which are important for practitioners and theoreticians of operations research and decision aiding (OR-DA). What should not be confused? The following: two types of registers or objectives; two types of attitudes or procedures and two types of approaches for apprehending reality, or for fitting into a process!
{"title":"Do not confuse","authors":"B. Roy","doi":"10.1504/IJMCDM.2016.077880","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.077880","url":null,"abstract":"The purpose of this short paper is to underscore some sources of confusion which are important for practitioners and theoreticians of operations research and decision aiding (OR-DA). What should not be confused? The following: two types of registers or objectives; two types of attitudes or procedures and two types of approaches for apprehending reality, or for fitting into a process!","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"112-117"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.077880","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696066","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 : 2016-07-25DOI: 10.1504/IJMCDM.2016.077878
A. Petrillo, F. Felice, L. Petrillo
Health technology assessment (HTA) is increasingly used in European countries to inform decision and policy making in the healthcare sector. Several countries have integrated HTA into policy, governance or regulatory processes. The present research aims to propose a new multidisciplinary approach to support and to justify decisions policies in healthcare organisations for the standardisation of HTA information and for the achievement of a more quality decisions under uncertainty, which ultimately determines the success of organisations. A multidimensional model, called DATA model - decision analytic technology assessment model - based on analytic hierarchy process and the Cyert-March-Simon model (aka Carnegie decision model) is developed. The results obtained show the potentiality of the proposed approach in prioritising critical aspects and in supporting management performance quality in healthcare system.
{"title":"DATA model for a multidimensional decision making in healthcare","authors":"A. Petrillo, F. Felice, L. Petrillo","doi":"10.1504/IJMCDM.2016.077878","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.077878","url":null,"abstract":"Health technology assessment (HTA) is increasingly used in European countries to inform decision and policy making in the healthcare sector. Several countries have integrated HTA into policy, governance or regulatory processes. The present research aims to propose a new multidisciplinary approach to support and to justify decisions policies in healthcare organisations for the standardisation of HTA information and for the achievement of a more quality decisions under uncertainty, which ultimately determines the success of organisations. A multidimensional model, called DATA model - decision analytic technology assessment model - based on analytic hierarchy process and the Cyert-March-Simon model (aka Carnegie decision model) is developed. The results obtained show the potentiality of the proposed approach in prioritising critical aspects and in supporting management performance quality in healthcare system.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"138-156"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.077878","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696030","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 : 2016-07-25DOI: 10.1504/IJMCDM.2016.077877
José Benedicto Royuela, M. Eames, S. Buckingham
Multi-criteria mapping (MCM) appraisal has been used in projects involving decisions related to specific technologies or policies in risk analysis. In this research, MCM has been adapted for appraising in a participative way holistic scenarios for a small isolated island. The procedural novelty relies on how the scenario building and the criteria selection were undertaken. Two scenarios for Flores Island (Portugal) were developed in a two step process involving, firstly, specialised stakeholders and decision-makers, and secondly, lay citizens. The scenarios aimed at proposing alternative visions of future. This article analyses the methodological aspects of the project (scenario development and MCM interviews). Overall, the methodology proved to be successful in informing preferred futures for Flores. One of the findings was the elevated uncertainty associated with each scenario. The project showed the limits of expert knowledge for the appraisal of multidisciplinary holistic scenarios, contradicting the distinction between expert and lay knowledge holders.
{"title":"'Participative foresight scenario mapping': adapting an MCM method to appraise foresight scenarios for the long term sustainable development of a small island","authors":"José Benedicto Royuela, M. Eames, S. Buckingham","doi":"10.1504/IJMCDM.2016.077877","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.077877","url":null,"abstract":"Multi-criteria mapping (MCM) appraisal has been used in projects involving decisions related to specific technologies or policies in risk analysis. In this research, MCM has been adapted for appraising in a participative way holistic scenarios for a small isolated island. The procedural novelty relies on how the scenario building and the criteria selection were undertaken. Two scenarios for Flores Island (Portugal) were developed in a two step process involving, firstly, specialised stakeholders and decision-makers, and secondly, lay citizens. The scenarios aimed at proposing alternative visions of future. This article analyses the methodological aspects of the project (scenario development and MCM interviews). Overall, the methodology proved to be successful in informing preferred futures for Flores. One of the findings was the elevated uncertainty associated with each scenario. The project showed the limits of expert knowledge for the appraisal of multidisciplinary holistic scenarios, contradicting the distinction between expert and lay knowledge holders.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"118-137"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.077877","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696428","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 : 2016-07-25DOI: 10.1504/IJMCDM.2016.077886
M. Boujelben, Y. D. Smet
We consider multicriteria clustering problems where the groups are ordered from the best to the worst. An approach relying on the principles of the k-means algorithm and disjunctive sorting based on evidence theory (DISSET) method is proposed for the detection of ordered clusters. The distinctive feature of this method is that it allows to obtain both precise and disjunctive partitions. In such situation, the actions can be assigned even to pair of groups (and not only to precise clusters). The decision maker is assumed to provide the following inputs: an evaluation table, the desired number of clusters and a valued preference model (obtained for instance by PROMETHEE method). The method is illustrated on two real examples: the Human Development Index (HDI-2013) and the Logistics Performance Index (LPI-2014).
{"title":"A multicriteria ordered clustering algorithm to determine precise or disjunctive partitions","authors":"M. Boujelben, Y. D. Smet","doi":"10.1504/IJMCDM.2016.077886","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.077886","url":null,"abstract":"We consider multicriteria clustering problems where the groups are ordered from the best to the worst. An approach relying on the principles of the k-means algorithm and disjunctive sorting based on evidence theory (DISSET) method is proposed for the detection of ordered clusters. The distinctive feature of this method is that it allows to obtain both precise and disjunctive partitions. In such situation, the actions can be assigned even to pair of groups (and not only to precise clusters). The decision maker is assumed to provide the following inputs: an evaluation table, the desired number of clusters and a valued preference model (obtained for instance by PROMETHEE method). The method is illustrated on two real examples: the Human Development Index (HDI-2013) and the Logistics Performance Index (LPI-2014).","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"157-187"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.077886","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696122","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 : 2016-04-04DOI: 10.1504/IJMCDM.2016.075623
R. Sarrazin, Y. D. Smet
Over the past few years, both recognising sustainable development and improving road safety have been main issues in policies for transport and mobility in Europe. However, few methodologies have been developed to support actively the road sector in the design of safer and greener roads. Consequently, this research project aimed to develop a multicriteria analysis methodology to carry out an integrated and preventive assessment of the road safety performances and some sustainable aspects of road projects at the design stage. Due to the combinatorial nature of design projects, we have investigated how an evolutionary approach, such as NSGA-II, could help the engineers to identify efficient alternatives. The algorithm was studied by means of well-known performance indicators. These showed the quality of the solutions generated by the algorithm in terms of convergence and diversity. In particular, the binary hypervolume indicator underlined the quality of the approximation set.
{"title":"Design safer and greener road projects by using a multi-objective evolutionary approach","authors":"R. Sarrazin, Y. D. Smet","doi":"10.1504/IJMCDM.2016.075623","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.075623","url":null,"abstract":"Over the past few years, both recognising sustainable development and improving road safety have been main issues in policies for transport and mobility in Europe. However, few methodologies have been developed to support actively the road sector in the design of safer and greener roads. Consequently, this research project aimed to develop a multicriteria analysis methodology to carry out an integrated and preventive assessment of the road safety performances and some sustainable aspects of road projects at the design stage. Due to the combinatorial nature of design projects, we have investigated how an evolutionary approach, such as NSGA-II, could help the engineers to identify efficient alternatives. The algorithm was studied by means of well-known performance indicators. These showed the quality of the solutions generated by the algorithm in terms of convergence and diversity. In particular, the binary hypervolume indicator underlined the quality of the approximation set.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"14-34"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.075623","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696294","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 : 2016-04-04DOI: 10.1504/IJMCDM.2016.075617
K. Lidouh, Y. D. Smet
Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals with the partitioning of the Walloon region in Belgium into clusters with a similar level of well-being as perceived by its inhabitants.
{"title":"A model for spatial multicriteria hierarchical clustering","authors":"K. Lidouh, Y. D. Smet","doi":"10.1504/IJMCDM.2016.075617","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.075617","url":null,"abstract":"Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals with the partitioning of the Walloon region in Belgium into clusters with a similar level of well-being as perceived by its inhabitants.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.075617","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696284","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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