Pub Date : 2018-08-11DOI: 10.1504/IJIDS.2018.10015069
Gökhan Akyüz, Ömür Tosun, Salih Aka
Supply chain consists of all the processes from obtaining the inputs to shipping the final goods to customers. To survive in a competitive environment firms must efficiently manage this chain, minimise the supply risk, decrease their costs, and optimise their inventory level and response customer demands quickly. Measuring and evaluation of supplier performance is also as important as selecting the right supplier. In this study, a multi criteria decision-making method is proposed ranking the suppliers of an international company in Turkey. In the proposed model quantitative criteria (acceptable product rate, major fault, return rate and delivery performance) and qualitative criteria (production flexibility, capacity management, reliability, communication and ecological awareness) are used and it is solved with Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) method. Performances of the suppliers are ranked with M-MACHBET software and sensitivity analysis are also given to discuss further the solution.
{"title":"Multi criteria decision-making approach for evaluation of supplier performance with MACBETH method","authors":"Gökhan Akyüz, Ömür Tosun, Salih Aka","doi":"10.1504/IJIDS.2018.10015069","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.10015069","url":null,"abstract":"Supply chain consists of all the processes from obtaining the inputs to shipping the final goods to customers. To survive in a competitive environment firms must efficiently manage this chain, minimise the supply risk, decrease their costs, and optimise their inventory level and response customer demands quickly. Measuring and evaluation of supplier performance is also as important as selecting the right supplier. In this study, a multi criteria decision-making method is proposed ranking the suppliers of an international company in Turkey. In the proposed model quantitative criteria (acceptable product rate, major fault, return rate and delivery performance) and qualitative criteria (production flexibility, capacity management, reliability, communication and ecological awareness) are used and it is solved with Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) method. Performances of the suppliers are ranked with M-MACHBET software and sensitivity analysis are also given to discuss further the solution.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953917","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 : 2018-06-20DOI: 10.1504/IJIDS.2018.092424
Mengni Zhang, Mengying Zhang
In reality, there widely exist kinds of factors that have interval target levels. Differing from traditional DEA, the factors are demanded to achieve the interval target levels for better performance. The paper gives a supplement to the situation that all target levels are able to be reached by DMUs. Furthermore, we measure the DMUs with interval-targeted factors though formulating new production possibility sets and models based on previous papers. This paper has great advantages in decision-making and applications. Firstly, the paper offers an approach to solve the problems that DMUs with interval-targeted factors. Secondly, interval target levels offer decision makers much more flexibility and inclusiveness than fixed target levels. Thirdly, they are applicable to many areas, such as education and resource allocation. Decision makers can use our studies on interval target levels to develop reasonable goals in practice. Graphs and examples are given to illustrate our thought.
{"title":"The factors with interval target levels in data envelopment analysis","authors":"Mengni Zhang, Mengying Zhang","doi":"10.1504/IJIDS.2018.092424","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.092424","url":null,"abstract":"In reality, there widely exist kinds of factors that have interval target levels. Differing from traditional DEA, the factors are demanded to achieve the interval target levels for better performance. The paper gives a supplement to the situation that all target levels are able to be reached by DMUs. Furthermore, we measure the DMUs with interval-targeted factors though formulating new production possibility sets and models based on previous papers. This paper has great advantages in decision-making and applications. Firstly, the paper offers an approach to solve the problems that DMUs with interval-targeted factors. Secondly, interval target levels offer decision makers much more flexibility and inclusiveness than fixed target levels. Thirdly, they are applicable to many areas, such as education and resource allocation. Decision makers can use our studies on interval target levels to develop reasonable goals in practice. Graphs and examples are given to illustrate our thought.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134348371","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 : 2018-06-20DOI: 10.1504/IJIDS.2018.092422
K. K. Damghani, Elham Hajisami
Energy generation is mixed with production of emissions, called undesirable outputs. Moreover, the values of inputs and outputs of criteria are not deterministic in real productions and usually mixed with a great amount of uncertainties during planning horizon. So, measuring the productivity in the presence of uncertainty and undesirable outputs is not a trivial task. In this paper, an uncertain data envelopment analysis (DEA)-based Malmquist productivity index (MPI) is developed in presence of undesirable outputs to assess the productivity of production. The theoretical properties of the proposed models are discussed. The proposed method is applied on real case study in ten steam electricity power-plants. Moreover, the changes in technical efficiencies and changes in technology during multiple periods which influence productivity are sensed using proposed approach. The regress and progress of a power plant is demonstrated during planning horizons and the cause of these are also illustrated.
{"title":"Productivity of steam power-plants using uncertain DEA-based Malmquist index in the presence of undesirable outputs","authors":"K. K. Damghani, Elham Hajisami","doi":"10.1504/IJIDS.2018.092422","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.092422","url":null,"abstract":"Energy generation is mixed with production of emissions, called undesirable outputs. Moreover, the values of inputs and outputs of criteria are not deterministic in real productions and usually mixed with a great amount of uncertainties during planning horizon. So, measuring the productivity in the presence of uncertainty and undesirable outputs is not a trivial task. In this paper, an uncertain data envelopment analysis (DEA)-based Malmquist productivity index (MPI) is developed in presence of undesirable outputs to assess the productivity of production. The theoretical properties of the proposed models are discussed. The proposed method is applied on real case study in ten steam electricity power-plants. Moreover, the changes in technical efficiencies and changes in technology during multiple periods which influence productivity are sensed using proposed approach. The regress and progress of a power plant is demonstrated during planning horizons and the cause of these are also illustrated.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132261635","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 : 2018-06-20DOI: 10.1504/IJIDS.2018.092425
E. Noorollahi, Dawud Fadai, S. H. Ghodsipour
This paper develops a hybrid multi-criteria assessment framework to determine Iran's energy status and prioritise different alternatives of power generation technologies based on both renewable and non-renewable resources with emphasis on sustainable development criteria. This issue is investigated by a hybrid model named as FANP-BOCR that integrates various concepts including analytic network process (ANP), benefits, opportunities, costs and risks analysis (BOCR) and fuzzy sets theory. Comprehensive analysis of strategic criteria and various sub-criteria under benefits, opportunities, costs and risks sub-network is done to evaluate the most suitable power generation technologies in Iran. The calculation has been done by Super decision software. The results show that, in the benefits, opportunities and costs networks, the most preferred three alternatives are hydroelectric, wind and natural gas combined cycle (NGCC). But in the risk network; NGCC, natural gas combustion turbine (NGCT) and natural gas steam turbine (NGST) have the highest priority.
{"title":"A hybrid multi-criteria assessment framework to prioritise power generation technologies in Iran","authors":"E. Noorollahi, Dawud Fadai, S. H. Ghodsipour","doi":"10.1504/IJIDS.2018.092425","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.092425","url":null,"abstract":"This paper develops a hybrid multi-criteria assessment framework to determine Iran's energy status and prioritise different alternatives of power generation technologies based on both renewable and non-renewable resources with emphasis on sustainable development criteria. This issue is investigated by a hybrid model named as FANP-BOCR that integrates various concepts including analytic network process (ANP), benefits, opportunities, costs and risks analysis (BOCR) and fuzzy sets theory. Comprehensive analysis of strategic criteria and various sub-criteria under benefits, opportunities, costs and risks sub-network is done to evaluate the most suitable power generation technologies in Iran. The calculation has been done by Super decision software. The results show that, in the benefits, opportunities and costs networks, the most preferred three alternatives are hydroelectric, wind and natural gas combined cycle (NGCC). But in the risk network; NGCC, natural gas combustion turbine (NGCT) and natural gas steam turbine (NGST) have the highest priority.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124998869","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 : 2018-06-20DOI: 10.1504/IJIDS.2018.092423
M. Aljumaili, R. Karim, Phillip Tretten
The paper proposes a model for data quality (DQ) assessment in maintenance. Data has become an increasingly important since most of the maintenance planning and implementations are based on data analysis. Poor DQ reduces customer satisfaction, leading to poor decision making, and has negative impacts on strategy execution. To improve DQ as well as to evaluate the current status, DQ needs to be measured. A measure for DQ could be an important support for decision makers. Multi-criteria decision-making (MCDM) methods can provide a framework for DQ assessment, however, they are not used in literature for DQ assessment. In order to assess DQ, the attributes or KPIs need to be defined, their hierarchy should be designed and the assessment model is proposed to evaluate these attributes. A case study is also presented in this paper. The study shows that MCDM methods could provide qualitative estimation for the quality of DQ attributes.
{"title":"Data quality assessment using multi-attribute maintenance perspective","authors":"M. Aljumaili, R. Karim, Phillip Tretten","doi":"10.1504/IJIDS.2018.092423","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.092423","url":null,"abstract":"The paper proposes a model for data quality (DQ) assessment in maintenance. Data has become an increasingly important since most of the maintenance planning and implementations are based on data analysis. Poor DQ reduces customer satisfaction, leading to poor decision making, and has negative impacts on strategy execution. To improve DQ as well as to evaluate the current status, DQ needs to be measured. A measure for DQ could be an important support for decision makers. Multi-criteria decision-making (MCDM) methods can provide a framework for DQ assessment, however, they are not used in literature for DQ assessment. In order to assess DQ, the attributes or KPIs need to be defined, their hierarchy should be designed and the assessment model is proposed to evaluate these attributes. A case study is also presented in this paper. The study shows that MCDM methods could provide qualitative estimation for the quality of DQ attributes.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340109","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 : 2018-03-29DOI: 10.1504/IJIDS.2018.090666
O. Belo, Vasco Santos, Bruno Oliveira, Claudia Gomes, Ricardo Marques
There are many tools for designing and modelling extract-transform-load (ETL) systems, covering its entire development life cycle. However, the vast majority of them use proprietary methodologies, notations and tasks, which undermine their understanding and application. In this paper, we present a translation tool for conceptual models, with the ability to reduce the 'gap' that usually exists when we need to translate a conceptual model for an equivalent physical one. We will demonstrate that it is possible to automatically translate ETL conceptual models developed in business process model and notation (BPMN) into the environment of a specific ETL implementation tool (Kettle-Pentaho data integration). The BPMN models were built to produce schemes for a specific execution environment (RAID) allowing us to demonstrate the utility of the tool in the translation, validation and generation of the physical schemas which we designated as ETL skeletons - a set of execution primitives properly orchestrated.
{"title":"RAID-B2K, transforming BPMN conceptual schemas into Kettle execution primitives","authors":"O. Belo, Vasco Santos, Bruno Oliveira, Claudia Gomes, Ricardo Marques","doi":"10.1504/IJIDS.2018.090666","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.090666","url":null,"abstract":"There are many tools for designing and modelling extract-transform-load (ETL) systems, covering its entire development life cycle. However, the vast majority of them use proprietary methodologies, notations and tasks, which undermine their understanding and application. In this paper, we present a translation tool for conceptual models, with the ability to reduce the 'gap' that usually exists when we need to translate a conceptual model for an equivalent physical one. We will demonstrate that it is possible to automatically translate ETL conceptual models developed in business process model and notation (BPMN) into the environment of a specific ETL implementation tool (Kettle-Pentaho data integration). The BPMN models were built to produce schemes for a specific execution environment (RAID) allowing us to demonstrate the utility of the tool in the translation, validation and generation of the physical schemas which we designated as ETL skeletons - a set of execution primitives properly orchestrated.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"695 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130770271","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 : 2018-03-29DOI: 10.1504/IJIDS.2018.090670
P. Datta
Last leg delivery plays a crucial role in improving logistics efficiency and customer acquisition through improved service quality and time. When implemented successfully, it becomes competitive advantage and ensures long-term success of the business. Last leg or last mile delivery is gaining importance in recent times in India, due to growing prominence of e-commerce. Major challenges in last mile delivery in India are: identification of best possible route to the destination, identification of best possible time window to reach and increasing efficiency of logistics through adoption of best possible delivery method to reduce delivery period. This paper first carries out a comprehensive literature review of last mile delivery practices adopted by e-commerce companies worldwide and the different factors affecting last mile delivery performance. The paper then describes a framework identifying necessary and sufficient conditions for selection of effective last mile delivery practices in India for specific product types.
{"title":"Decision framework for selecting last mile delivery performance in Indian e-commerce companies","authors":"P. Datta","doi":"10.1504/IJIDS.2018.090670","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.090670","url":null,"abstract":"Last leg delivery plays a crucial role in improving logistics efficiency and customer acquisition through improved service quality and time. When implemented successfully, it becomes competitive advantage and ensures long-term success of the business. Last leg or last mile delivery is gaining importance in recent times in India, due to growing prominence of e-commerce. Major challenges in last mile delivery in India are: identification of best possible route to the destination, identification of best possible time window to reach and increasing efficiency of logistics through adoption of best possible delivery method to reduce delivery period. This paper first carries out a comprehensive literature review of last mile delivery practices adopted by e-commerce companies worldwide and the different factors affecting last mile delivery performance. The paper then describes a framework identifying necessary and sufficient conditions for selection of effective last mile delivery practices in India for specific product types.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127551997","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 : 2018-03-29DOI: 10.1504/IJIDS.2018.090667
Nazanin Vafaei, Rita Almeida Ribeiro, L. Camarinha-Matos
Data normalisation is essential for decision-making methods because data has to be numerical and comparable to be aggregated into a single score per alternative. In multi-criteria decision-making (MCDM), normalisation must convert criteria values into a common scale, thus, enabling rating and ranking of alternatives. Therefore, it is a challenge to select a suitable normalisation technique to represent an appropriate mapping from source data to a common scale. There are some attempts in the literature to address the subject of normalisation, but it is still an open question which technique is more appropriate for any MCDM method. Our research contribution is an assessment approach for evaluating normalisation techniques. Here, we focus on six well-known normalisation techniques and on TOPSIS method. The proposed assessment process provides a more robust evaluation and selection of the best normalisation technique for usage in TOPSIS.
{"title":"Data normalisation techniques in decision making: case study with TOPSIS method","authors":"Nazanin Vafaei, Rita Almeida Ribeiro, L. Camarinha-Matos","doi":"10.1504/IJIDS.2018.090667","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.090667","url":null,"abstract":"Data normalisation is essential for decision-making methods because data has to be numerical and comparable to be aggregated into a single score per alternative. In multi-criteria decision-making (MCDM), normalisation must convert criteria values into a common scale, thus, enabling rating and ranking of alternatives. Therefore, it is a challenge to select a suitable normalisation technique to represent an appropriate mapping from source data to a common scale. There are some attempts in the literature to address the subject of normalisation, but it is still an open question which technique is more appropriate for any MCDM method. Our research contribution is an assessment approach for evaluating normalisation techniques. Here, we focus on six well-known normalisation techniques and on TOPSIS method. The proposed assessment process provides a more robust evaluation and selection of the best normalisation technique for usage in TOPSIS.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794259","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 : 2018-03-29DOI: 10.1504/IJIDS.2018.090668
Rami A. Kinsara, D. Kilgour, K. Hipel
The novel decision support system GMCR+ is designed for encapsulating advanced communication features including the capabilities to define, analyse, and communicate models and analyses of a given conflict, thereby enabling it to support negotiation and the management of strategic conflict. A major feature of GMCR+ is its ability to visualise conflicts explicitly using enriched graph models. Other tools that facilitate communication are the automatic calculation of conflict parameters and the ability to export them to Excel. Moreover, a novel status quo analysis procedure enables an analyst to examine the possible evolution of a conflict from an initial (status quo) state to a specified outcome. Even if a win/win outcome exists, it cannot be a resolution unless it is reachable.
{"title":"Communication features in a DSS for conflict resolution based on the graph model","authors":"Rami A. Kinsara, D. Kilgour, K. Hipel","doi":"10.1504/IJIDS.2018.090668","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.090668","url":null,"abstract":"The novel decision support system GMCR+ is designed for encapsulating advanced communication features including the capabilities to define, analyse, and communicate models and analyses of a given conflict, thereby enabling it to support negotiation and the management of strategic conflict. A major feature of GMCR+ is its ability to visualise conflicts explicitly using enriched graph models. Other tools that facilitate communication are the automatic calculation of conflict parameters and the ability to export them to Excel. Moreover, a novel status quo analysis procedure enables an analyst to examine the possible evolution of a conflict from an initial (status quo) state to a specified outcome. Even if a win/win outcome exists, it cannot be a resolution unless it is reachable.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127088717","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 : 2018-03-29DOI: 10.1504/IJIDS.2018.090669
F. D. Donato, L. Nieddu
We considered the case of small-medium enterprises (SMEs) in Italy introducing a new classifier to predict bankruptcy up to eight years prior to failure. We considered a stratified random sample of 100 non-listed Italian SMEs, 50 of which filed for bankruptcy during the years 2000 to 2011. Results suggest that the proposed method more than holds its own when compared with standard non-parametric classification techniques. The performance of the proposed method based on recognition rate, sensitivity and specificity shows that the proposed technique is effective in predicting the failure of a firm up to eight years prior to the event. The high specificity makes the proposed technique very effective as a warning signal to determine if a firm is in distress with a sufficient enough time to take proper actions. The performance assessment has been achieved via cross-validation to get unbiased estimates of the performances.
{"title":"A new non-parametric classifier to predict small-business failures in Italy via performance ratios","authors":"F. D. Donato, L. Nieddu","doi":"10.1504/IJIDS.2018.090669","DOIUrl":"https://doi.org/10.1504/IJIDS.2018.090669","url":null,"abstract":"We considered the case of small-medium enterprises (SMEs) in Italy introducing a new classifier to predict bankruptcy up to eight years prior to failure. We considered a stratified random sample of 100 non-listed Italian SMEs, 50 of which filed for bankruptcy during the years 2000 to 2011. Results suggest that the proposed method more than holds its own when compared with standard non-parametric classification techniques. The performance of the proposed method based on recognition rate, sensitivity and specificity shows that the proposed technique is effective in predicting the failure of a firm up to eight years prior to the event. The high specificity makes the proposed technique very effective as a warning signal to determine if a firm is in distress with a sufficient enough time to take proper actions. The performance assessment has been achieved via cross-validation to get unbiased estimates of the performances.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"586 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116309043","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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