Pub Date : 2014-03-24DOI: 10.1504/IJMCDM.2014.059963
D. Despotis, Dimitris Sotiros
Incorporating value judgments in data envelopment analysis (DEA) is a broad methodological framework that facilitates driving the efficiency assessments in line with individual preferences. Value-based DEA is a recent development that resorts to value assessment protocols from multiple criteria decision analysis (MCDA) to transform the original input/output data to a value scale. In this context, we introduce in this paper a piece-wise linear programming approach to value-based DEA, by employing a data transformation-variable alteration technique and assurance region constraints. We outline our approach by revisiting a previous efficiency assessment study drawn from the literature.
{"title":"Value-based data envelopment analysis: a piece-wise linear programming approach","authors":"D. Despotis, Dimitris Sotiros","doi":"10.1504/IJMCDM.2014.059963","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.059963","url":null,"abstract":"Incorporating value judgments in data envelopment analysis (DEA) is a broad methodological framework that facilitates driving the efficiency assessments in line with individual preferences. Value-based DEA is a recent development that resorts to value assessment protocols from multiple criteria decision analysis (MCDA) to transform the original input/output data to a value scale. In this context, we introduce in this paper a piece-wise linear programming approach to value-based DEA, by employing a data transformation-variable alteration technique and assurance region constraints. We outline our approach by revisiting a previous efficiency assessment study drawn from the literature.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"13 1","pages":"47-68"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.059963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695863","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 : 2014-03-24DOI: 10.1504/IJMCDM.2014.059964
J. Hendrix, D. Jacques, J. Weir
This paper presents extensions to the triage method for addressing continuous decision problems. These provide decision makers more tools with which to address situations where alternatives present themselves over time. The original triage method provides a criteria with which to divide these alternatives into those that should be selected, those that should be rejected, and those that should be held pending until a later decision epoch. The proposed extensions offer different criteria for accomplishing this partition. A sample problem is introduced to compare the effectiveness of the various methods and avenues for further improvements are discussed.
{"title":"Continuous decision support","authors":"J. Hendrix, D. Jacques, J. Weir","doi":"10.1504/IJMCDM.2014.059964","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.059964","url":null,"abstract":"This paper presents extensions to the triage method for addressing continuous decision problems. These provide decision makers more tools with which to address situations where alternatives present themselves over time. The original triage method provides a criteria with which to divide these alternatives into those that should be selected, those that should be rejected, and those that should be held pending until a later decision epoch. The proposed extensions offer different criteria for accomplishing this partition. A sample problem is introduced to compare the effectiveness of the various methods and avenues for further improvements are discussed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"69-89"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.059964","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695913","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 : 2014-03-24DOI: 10.1504/IJMCDM.2014.059962
M. Sakawa, T. Matsui
This paper considers multiobjective linear programming problems involving random variables in constraints. Using the concept of simple recourse, the formulated multiobjective stochastic programming problems with simple recourse are transformed into deterministic ones. Taking into account vagueness of judgments of the decision maker, interactive fuzzy programming is presented. In the proposed method, after determining the fuzzy goals of the decision maker, a satisficing solution for the decision maker is derived efficiently by updating the reference membership levels. Extensions to integer programming are also considered. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method.
{"title":"Interactive fuzzy multiobjective stochastic programming with simple recourse","authors":"M. Sakawa, T. Matsui","doi":"10.1504/IJMCDM.2014.059962","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.059962","url":null,"abstract":"This paper considers multiobjective linear programming problems involving random variables in constraints. Using the concept of simple recourse, the formulated multiobjective stochastic programming problems with simple recourse are transformed into deterministic ones. Taking into account vagueness of judgments of the decision maker, interactive fuzzy programming is presented. In the proposed method, after determining the fuzzy goals of the decision maker, a satisficing solution for the decision maker is derived efficiently by updating the reference membership levels. Extensions to integer programming are also considered. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"31-46"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.059962","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695853","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 : 2014-03-24DOI: 10.1504/IJMCDM.2014.059961
Stefan Eppe, Y. D. Smet
For most decision making problems, finding representative parameters of a decision maker's preferences remains a challenging task. We adapt to the PROMETHEE II outranking method an eliciting procedure named Q-Eval that has been developed in the context of multi-attribute utility theory (MAUT). It refines the estimation of the preference parameters by iteratively querying the DM through pairwise action comparisons. After formalising an extension of this method to two other types of queries: 1) selection of one action from a subset; 2) ranking of a subset of actions, we propose an adaptive query selection scheme that presents to the DM the most discriminating query type at each step of the process. Simulation results show that this approach improves the efficiency of the eliciting phase in terms of convergence speed.
{"title":"An adaptive questioning procedure for eliciting PROMETHEE II's weight parameters","authors":"Stefan Eppe, Y. D. Smet","doi":"10.1504/IJMCDM.2014.059961","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.059961","url":null,"abstract":"For most decision making problems, finding representative parameters of a decision maker's preferences remains a challenging task. We adapt to the PROMETHEE II outranking method an eliciting procedure named Q-Eval that has been developed in the context of multi-attribute utility theory (MAUT). It refines the estimation of the preference parameters by iteratively querying the DM through pairwise action comparisons. After formalising an extension of this method to two other types of queries: 1) selection of one action from a subset; 2) ranking of a subset of actions, we propose an adaptive query selection scheme that presents to the DM the most discriminating query type at each step of the process. Simulation results show that this approach improves the efficiency of the eliciting phase in terms of convergence speed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.059961","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695803","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 : 2014-01-01DOI: 10.1504/IJMCDM.2014.066869
I. Mitropoulos, P. Mitropoulos, A. Sissouras
In recent years, considerable emphasis has been given to the determination of the efficiency of public organisations and public service units using the data envelopment analysis method (DEA), which evaluates the relative efficiency of the units under examination. The ability to model both quantitative and qualitative factors in its structure extends the usefulness of the method. Moreover since DEA was initially developed as an efficient measurement tool for non-for-profit situation and since such situations commonly exhibit 'soft factors', the capability to handle such factors becomes a necessity in the field of healthcare system. In this study, we assess the efficiency of the primary healthcare units of the principal Greek public insurance provider the Social Security Institute (IKA).
{"title":"Managing productivity of public health insurance services","authors":"I. Mitropoulos, P. Mitropoulos, A. Sissouras","doi":"10.1504/IJMCDM.2014.066869","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.066869","url":null,"abstract":"In recent years, considerable emphasis has been given to the determination of the efficiency of public organisations and public service units using the data envelopment analysis method (DEA), which evaluates the relative efficiency of the units under examination. The ability to model both quantitative and qualitative factors in its structure extends the usefulness of the method. Moreover since DEA was initially developed as an efficient measurement tool for non-for-profit situation and since such situations commonly exhibit 'soft factors', the capability to handle such factors becomes a necessity in the field of healthcare system. In this study, we assess the efficiency of the primary healthcare units of the principal Greek public insurance provider the Social Security Institute (IKA).","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"299-310"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.066869","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695717","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 : 2014-01-01DOI: 10.1504/IJMCDM.2014.066871
J. Weir, J. Hendrix, Alex J. Gutman
We present the triage method for screening decision alternatives. Screening reduces a decision maker's time and effort because it removes poor alternatives from unnecessary vetting. We consider the case when alternatives arrive at different times in batch sizes. Alternatives may also 'expire', requiring a decision to be made quickly. A triage function uses a value model to partition incoming alternatives into one of three sets: transferred, rejected, or pending. Pending alternatives are cycled back through the process and are reevaluated against a changing cutoff value. Interval parameters account for uncertainty and disagreements between multiple decision makers. Overall, the triage method provides a dynamic, continuous evaluation of potential alternatives with results that are easily defended and communicated. We illustrate a wartime application of the triage method on proposals seeking funding to defeat improvised explosive devices, the main killer of coalition forces and civilians in Iraq and Afghanistan.
{"title":"The triage method: screening alternatives over time with multiobjective decision analysis","authors":"J. Weir, J. Hendrix, Alex J. Gutman","doi":"10.1504/IJMCDM.2014.066871","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.066871","url":null,"abstract":"We present the triage method for screening decision alternatives. Screening reduces a decision maker's time and effort because it removes poor alternatives from unnecessary vetting. We consider the case when alternatives arrive at different times in batch sizes. Alternatives may also 'expire', requiring a decision to be made quickly. A triage function uses a value model to partition incoming alternatives into one of three sets: transferred, rejected, or pending. Pending alternatives are cycled back through the process and are reevaluated against a changing cutoff value. Interval parameters account for uncertainty and disagreements between multiple decision makers. Overall, the triage method provides a dynamic, continuous evaluation of potential alternatives with results that are easily defended and communicated. We illustrate a wartime application of the triage method on proposals seeking funding to defeat improvised explosive devices, the main killer of coalition forces and civilians in Iraq and Afghanistan.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"311-331"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.066871","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695777","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 : 2014-01-01DOI: 10.1504/IJMCDM.2014.066872
A. Amiri, M. Bashiri, M. Maleki, A. S. Moghaddam
The exponentially weighted moving average (EWMA) control charts are useful for detecting small shifts in the process mean. In this paper, we investigate multi-objective economic-statistical design of the EWMA control charts and propose two evolutionary algorithms including non-dominated sorting genetic algorithm (NSGA-II) and multi-objective genetic algorithm (MOGA) to determine the optimal chart parameters. The cost function used in this paper is Lorenzen and Vance cost function. We also used quadratic Taguchi loss function to determine the costs of producing non-conforming items under both in-control and out-of-control situations. The average run length values in both in-control and out-of-control states are computed by using Markov chain approach. A numerical example is applied to compare the results of proposed algorithms in finding the Pareto optimal solution of the multi-objective economic-statistical model. Finally, a sensitivity analysis on the economic and the statistical criteria of the EWMA control chart under both proposed algorithms is conducted.
{"title":"Multi-objective Markov-based economic-statistical design of EWMA control chart using NSGA-II and MOGA algorithms","authors":"A. Amiri, M. Bashiri, M. Maleki, A. S. Moghaddam","doi":"10.1504/IJMCDM.2014.066872","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.066872","url":null,"abstract":"The exponentially weighted moving average (EWMA) control charts are useful for detecting small shifts in the process mean. In this paper, we investigate multi-objective economic-statistical design of the EWMA control charts and propose two evolutionary algorithms including non-dominated sorting genetic algorithm (NSGA-II) and multi-objective genetic algorithm (MOGA) to determine the optimal chart parameters. The cost function used in this paper is Lorenzen and Vance cost function. We also used quadratic Taguchi loss function to determine the costs of producing non-conforming items under both in-control and out-of-control situations. The average run length values in both in-control and out-of-control states are computed by using Markov chain approach. A numerical example is applied to compare the results of proposed algorithms in finding the Pareto optimal solution of the multi-objective economic-statistical model. Finally, a sensitivity analysis on the economic and the statistical criteria of the EWMA control chart under both proposed algorithms is conducted.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"332-347"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.066872","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695816","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 : 2014-01-01DOI: 10.1504/IJMCDM.2014.066874
Mohamed-Mahmoud Memmah, B. Quilot-Turion, A. Rolland
The model-based design of virtual fruit ideotypes using multi-objective optimisation algorithms could produce a high number of contrasted fruits. The breeder (decision-maker) will need an automatic tool allowing him/her to sort these contrasted ideotypes into predefined categories corresponding to several targeted traits. This paper aims to develop such a decision-making module to sort a set of fruit ideotypes into one of five preference-ordered categories in the context of brown rot-peach fruit pathosystem. First, a set of ideotypes with contrasted trade-off between three criteria was produced using multi-objective optimisation algorithms. Then, two multi-criteria decision-making methods (ELECTRE-Tri and DRSA: dominance-based rough set approach) were tested in order to reproduce the classification made by the decision-maker. Such a non-typical classification seemed difficult to be reproduced by the ELECTRE-TRI method while the decision rule-based method gave very good results (only 10% wrong assignments). The proposed decision-making tool is very useful to speed-up the model-based design of fruit ideotypes, i.e., breeding.
{"title":"Multi-criteria sorting methods to select virtual peach ideotypes","authors":"Mohamed-Mahmoud Memmah, B. Quilot-Turion, A. Rolland","doi":"10.1504/IJMCDM.2014.066874","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.066874","url":null,"abstract":"The model-based design of virtual fruit ideotypes using multi-objective optimisation algorithms could produce a high number of contrasted fruits. The breeder (decision-maker) will need an automatic tool allowing him/her to sort these contrasted ideotypes into predefined categories corresponding to several targeted traits. This paper aims to develop such a decision-making module to sort a set of fruit ideotypes into one of five preference-ordered categories in the context of brown rot-peach fruit pathosystem. First, a set of ideotypes with contrasted trade-off between three criteria was produced using multi-objective optimisation algorithms. Then, two multi-criteria decision-making methods (ELECTRE-Tri and DRSA: dominance-based rough set approach) were tested in order to reproduce the classification made by the decision-maker. Such a non-typical classification seemed difficult to be reproduced by the ELECTRE-TRI method while the decision rule-based method gave very good results (only 10% wrong assignments). The proposed decision-making tool is very useful to speed-up the model-based design of fruit ideotypes, i.e., breeding.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"348-366"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.066874","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695835","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 : 2014-01-01DOI: 10.1504/IJMCDM.2014.066870
M. Azizi, Fatemeh Sarfi, M. Faezipour, A. Arian
In order to compare composite wood in Iran, a hierarchy was designed to prioritise benefits, opportunities, costs and risks using analytic hierarchy process rating approach. BOCR structure was determined by providing questionnaires and collecting data from knowledgeable persons who were consumers of the products in wood industry. The BOCR was affected by all factors. All these were weighted by AHP. Also, using questionnaire, the pair-wise comparison was made both for sub-criteria and for four alternatives with respect to the criteria. Then by synthesising criteria weights with sub-criteria and alternative weights, the total weight of alternatives was calculated through analytical network process.
{"title":"A comparative model of kinds of composite wood regarding customers' perspective using analytic network process (ANP)","authors":"M. Azizi, Fatemeh Sarfi, M. Faezipour, A. Arian","doi":"10.1504/IJMCDM.2014.066870","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.066870","url":null,"abstract":"In order to compare composite wood in Iran, a hierarchy was designed to prioritise benefits, opportunities, costs and risks using analytic hierarchy process rating approach. BOCR structure was determined by providing questionnaires and collecting data from knowledgeable persons who were consumers of the products in wood industry. The BOCR was affected by all factors. All these were weighted by AHP. Also, using questionnaire, the pair-wise comparison was made both for sub-criteria and for four alternatives with respect to the criteria. Then by synthesising criteria weights with sub-criteria and alternative weights, the total weight of alternatives was calculated through analytical network process.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"367-392"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.066870","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695729","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 : 2013-10-01DOI: 10.1504/IJMCDM.2013.056654
G. Kabir, M. Hasin
Evaluation and selection of power substation location is an important strategic decision-making problem for both public and private sector. The multi-dimensional, multicriteria nature of the power substation location problem limits the usefulness of any particular single objective model. Studies have shown that electromagnetic radiations emanating from the high voltage lines and substations, pose serious adverse health consequences to living beings. In this study, social, technological, economical, environmental and site characteristics factors and sub-criteria, have been derived to make the optimal power substation location selection decision more realistic and effectual. In this paper, an improved and more appropriate power substation location evaluation and selection model has been developed by integrating modified Delphi method with fuzzy analytic hierarchy process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.
{"title":"Integrating modified Delphi method with fuzzy AHP for optimal power substation location selection","authors":"G. Kabir, M. Hasin","doi":"10.1504/IJMCDM.2013.056654","DOIUrl":"https://doi.org/10.1504/IJMCDM.2013.056654","url":null,"abstract":"Evaluation and selection of power substation location is an important strategic decision-making problem for both public and private sector. The multi-dimensional, multicriteria nature of the power substation location problem limits the usefulness of any particular single objective model. Studies have shown that electromagnetic radiations emanating from the high voltage lines and substations, pose serious adverse health consequences to living beings. In this study, social, technological, economical, environmental and site characteristics factors and sub-criteria, have been derived to make the optimal power substation location selection decision more realistic and effectual. In this paper, an improved and more appropriate power substation location evaluation and selection model has been developed by integrating modified Delphi method with fuzzy analytic hierarchy process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"3 1","pages":"381-398"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2013.056654","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695693","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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