Pub Date : 2017-11-26DOI: 10.1504/IJIDS.2017.10009016
Mohamed Sarrab, Hafedh Al-Shihi, Ibtisam Nasser Said Al Shibli
From innovation adoption perspective, this paper studies learner's perceptions and willingness toward M-learning adoption and investigates the key factors affecting M-learning adoption behaviour in Oman and the Arab Gulf Region. Despite a large amount of research in the field of M-learning, there is so much research focused on analysing the relationship between the perceived innovative characteristics and willingness of M-learning adoption. Using analytic hierarchy process (AHP), 28 factors of perceived innovative characteristics have been analysed to examine the relationship among the perceived innovative characteristics and willingness of M-learning adoption. The results of a total of 806 learners from different institutes in Omani higher education that participated in this research showed that some factors of perceived innovative characteristics, such as enjoyment, flexibility, suitability, social, economic, and efficiency have more influence on learners' adoption of M-learning. The effort is part of the Omani-funded research project investigating the development, adoption and dissemination of mobile learning in Oman.
{"title":"Mobile learning key influencing factors adoption based on analytic hierarchy process","authors":"Mohamed Sarrab, Hafedh Al-Shihi, Ibtisam Nasser Said Al Shibli","doi":"10.1504/IJIDS.2017.10009016","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009016","url":null,"abstract":"From innovation adoption perspective, this paper studies learner's perceptions and willingness toward M-learning adoption and investigates the key factors affecting M-learning adoption behaviour in Oman and the Arab Gulf Region. Despite a large amount of research in the field of M-learning, there is so much research focused on analysing the relationship between the perceived innovative characteristics and willingness of M-learning adoption. Using analytic hierarchy process (AHP), 28 factors of perceived innovative characteristics have been analysed to examine the relationship among the perceived innovative characteristics and willingness of M-learning adoption. The results of a total of 806 learners from different institutes in Omani higher education that participated in this research showed that some factors of perceived innovative characteristics, such as enjoyment, flexibility, suitability, social, economic, and efficiency have more influence on learners' adoption of M-learning. The effort is part of the Omani-funded research project investigating the development, adoption and dissemination of mobile learning in Oman.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127129163","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 : 2017-11-26DOI: 10.1504/IJIDS.2017.10009006
M. M. Barzani, K. Salleh
This paper discusses spatial and temporal variability of climate parameters of Zayandeh Rood Basin (Z.R.B.) in Iran. Standard climate parameters are precipitation, temperature, evaporation and wind (during 1951-2005). Objective of this research was to evaluate coefficients of drought index in the study area by calculating coefficients of drought and classified hazard map by measuring aridity parameters in form of the Kriging map. This paper presents a classified aridity map. The classification method is based on such main parameters as precipitation, wind, evaporation and temperature. Each parameter includes a sub-indicator with statistical data and vector map. The sum of score parameters was estimated by using a weighted average. Construction of missing data was tested by regression and homogenous method. Result shows the very high classes of aridity in East and North of the basin and very low class in West, and North-West. The final map shows level of aridity index in the study area. In this study, Arc GIS 9.3 was used to analyse the vector.
{"title":"Assessment of aridity index in Iran","authors":"M. M. Barzani, K. Salleh","doi":"10.1504/IJIDS.2017.10009006","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009006","url":null,"abstract":"This paper discusses spatial and temporal variability of climate parameters of Zayandeh Rood Basin (Z.R.B.) in Iran. Standard climate parameters are precipitation, temperature, evaporation and wind (during 1951-2005). Objective of this research was to evaluate coefficients of drought index in the study area by calculating coefficients of drought and classified hazard map by measuring aridity parameters in form of the Kriging map. This paper presents a classified aridity map. The classification method is based on such main parameters as precipitation, wind, evaporation and temperature. Each parameter includes a sub-indicator with statistical data and vector map. The sum of score parameters was estimated by using a weighted average. Construction of missing data was tested by regression and homogenous method. Result shows the very high classes of aridity in East and North of the basin and very low class in West, and North-West. The final map shows level of aridity index in the study area. In this study, Arc GIS 9.3 was used to analyse the vector.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124012251","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 : 2017-11-26DOI: 10.1504/IJIDS.2017.10009002
Mohammad Tavassoli, Taliva Badizadeh, R. F. Saen
In recent years, data envelopment analysis (DEA) has been widely used to assess both technical efficiency and technical effectiveness. Although a number of studies have focused on performance evaluation of power distribution units, this sort of studies are rare in Iran. This paper proposes an integrated slack-based measure (ISBM) approach to measure both technical efficiency and technical effectiveness of Iranian's power distribution units. The proposed SBM-DEA model represents both non-storable features of power distribution industry and production technologies in a unified framework. The proposed approach not only measures technical efficiency and effectiveness of power distribution units, but also estimates overall efficiency of distribution units.
{"title":"A joint measurement of efficiency and effectiveness for ranking power distribution units in Iran: integrated data envelopment analysis approach","authors":"Mohammad Tavassoli, Taliva Badizadeh, R. F. Saen","doi":"10.1504/IJIDS.2017.10009002","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009002","url":null,"abstract":"In recent years, data envelopment analysis (DEA) has been widely used to assess both technical efficiency and technical effectiveness. Although a number of studies have focused on performance evaluation of power distribution units, this sort of studies are rare in Iran. This paper proposes an integrated slack-based measure (ISBM) approach to measure both technical efficiency and technical effectiveness of Iranian's power distribution units. The proposed SBM-DEA model represents both non-storable features of power distribution industry and production technologies in a unified framework. The proposed approach not only measures technical efficiency and effectiveness of power distribution units, but also estimates overall efficiency of distribution units.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133695","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 : 2017-11-26DOI: 10.1504/IJIDS.2017.10009015
Xun Xu
The study of supply side of the hotel sector is rare although hotels play an important role in generating revenues in tourism industry, which has a large contribution on global economic growth. This study fills the supply-side literature gap through discussing the operating and profitability efficiencies of US listed hotel companies in the recent five years through a data envelopment analysis (DEA) approach. Hotels are categorised into four groups according to the stability and trend of their operating and profitability efficiencies in this five-year period. Findings suggest that hotels' operating efficiency and profitability efficiency are highly correlated. Implications for improving hotels' operating and profitability efficiencies are provided.
{"title":"Evaluating operating and profitability efficiencies of hotel companies","authors":"Xun Xu","doi":"10.1504/IJIDS.2017.10009015","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009015","url":null,"abstract":"The study of supply side of the hotel sector is rare although hotels play an important role in generating revenues in tourism industry, which has a large contribution on global economic growth. This study fills the supply-side literature gap through discussing the operating and profitability efficiencies of US listed hotel companies in the recent five years through a data envelopment analysis (DEA) approach. Hotels are categorised into four groups according to the stability and trend of their operating and profitability efficiencies in this five-year period. Findings suggest that hotels' operating efficiency and profitability efficiency are highly correlated. Implications for improving hotels' operating and profitability efficiencies are provided.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127284088","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 : 2017-11-26DOI: 10.1504/IJIDS.2017.10009008
I. A. Hamid-Mosaku, M. Mahmud, M. S. Mohd
Malaysia marine fishery sector and its activities are prominent in Malaysia waters, contributing to the nation's gross domestic product (GDP) and providing sustenance and protein. Among these activities are the landings of different fisheries resources from different landing districts, collated on states level, and officially reported annually. However, contributions of these landings to GDP are not adequately reported; moreover, fuzzy terms used in some cases were not evenly represented. Therefore, in the context of marine geospatial data infrastructure (MGDI) decisions, these constitute fuzzy decision problems resulting from stakeholders' subjectivity and uncertainties. In this paper therefore, evaluations of reported landings from 2006-2010 for western coast of Malaysia were investigated using fuzzy inference system. Categorisation of these contributions to GDP appropriately analysed to assist stakeholders in making informed decisions. Additionally, this novel approach is yet to be reported in literature to cases of fisheries landings and GDP across Asia and beyond.
{"title":"An application of fuzzy inference system to marine fish landings for west coast of Malaysia","authors":"I. A. Hamid-Mosaku, M. Mahmud, M. S. Mohd","doi":"10.1504/IJIDS.2017.10009008","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009008","url":null,"abstract":"Malaysia marine fishery sector and its activities are prominent in Malaysia waters, contributing to the nation's gross domestic product (GDP) and providing sustenance and protein. Among these activities are the landings of different fisheries resources from different landing districts, collated on states level, and officially reported annually. However, contributions of these landings to GDP are not adequately reported; moreover, fuzzy terms used in some cases were not evenly represented. Therefore, in the context of marine geospatial data infrastructure (MGDI) decisions, these constitute fuzzy decision problems resulting from stakeholders' subjectivity and uncertainties. In this paper therefore, evaluations of reported landings from 2006-2010 for western coast of Malaysia were investigated using fuzzy inference system. Categorisation of these contributions to GDP appropriately analysed to assist stakeholders in making informed decisions. Additionally, this novel approach is yet to be reported in literature to cases of fisheries landings and GDP across Asia and beyond.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347495","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 : 2017-11-26DOI: 10.1504/IJIDS.2017.10009013
Nand Kumar, Archana Singh
The purpose of the paper is to evaluate the efficiency of the banks using fuzzy extended data envelopment analysis (DEA). One of the limitations of conventional DEA is that it cannot assess efficiency in case of imprecise data. Fuzzy DEA can evaluate efficiency with imprecise data as it takes into consideration the fuzzy characteristics of inputs and outputs. In this paper, variation in inputs and outputs of banks is incorporated in the analysis using fuzzy DEA. Ten reputed Indian commercial banks have been considered to compare the results obtained from conventional DEA and fuzzy DEA. Authors have used a fuzzy ranking method to rank the efficiency of banks, which allows working with the concept of feasibility degree. This research paper may be helpful to managers in analysing the relative efficiency of the bank considering the variation in inputs and outputs during an evaluation period.
{"title":"Efficiency evaluation of select Indian banks using fuzzy extended data envelopment analysis","authors":"Nand Kumar, Archana Singh","doi":"10.1504/IJIDS.2017.10009013","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10009013","url":null,"abstract":"The purpose of the paper is to evaluate the efficiency of the banks using fuzzy extended data envelopment analysis (DEA). One of the limitations of conventional DEA is that it cannot assess efficiency in case of imprecise data. Fuzzy DEA can evaluate efficiency with imprecise data as it takes into consideration the fuzzy characteristics of inputs and outputs. In this paper, variation in inputs and outputs of banks is incorporated in the analysis using fuzzy DEA. Ten reputed Indian commercial banks have been considered to compare the results obtained from conventional DEA and fuzzy DEA. Authors have used a fuzzy ranking method to rank the efficiency of banks, which allows working with the concept of feasibility degree. This research paper may be helpful to managers in analysing the relative efficiency of the bank considering the variation in inputs and outputs during an evaluation period.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133406610","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 : 2017-09-27DOI: 10.1504/IJIDS.2017.10007805
A. Salmasnia, Elmira Zifan, H. Mokhtari
Setting of design variables to meet the desired region of quality characteristics is a common problem in quality control. In this regard, many different optimisation approaches are available in literature. In most of traditional approaches, the required preference information should be articulated by the decision maker (DM) in advance. However, pre-determining such parameters is usually difficult and inaccurate. Furthermore, the majority of these techniques assume the constant variance of responses over the experimental region which is not a real assumption. Therefore, an interactive method for optimising the multiple response problems is presented in the current paper which does not require any signification of DM's preference information before the solving process. This method considers the location and dispersion effects of quality characteristics along with specification limits in a unified framework based on desirability function and the concept of coefficient of variation. The obtained results are compared with some of the existing methods on a real example to display the efficiency of the proposed method.
{"title":"An interactive preference decision making approach to multi-response process design with location and dispersion effects","authors":"A. Salmasnia, Elmira Zifan, H. Mokhtari","doi":"10.1504/IJIDS.2017.10007805","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10007805","url":null,"abstract":"Setting of design variables to meet the desired region of quality characteristics is a common problem in quality control. In this regard, many different optimisation approaches are available in literature. In most of traditional approaches, the required preference information should be articulated by the decision maker (DM) in advance. However, pre-determining such parameters is usually difficult and inaccurate. Furthermore, the majority of these techniques assume the constant variance of responses over the experimental region which is not a real assumption. Therefore, an interactive method for optimising the multiple response problems is presented in the current paper which does not require any signification of DM's preference information before the solving process. This method considers the location and dispersion effects of quality characteristics along with specification limits in a unified framework based on desirability function and the concept of coefficient of variation. The obtained results are compared with some of the existing methods on a real example to display the efficiency of the proposed method.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122427328","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 : 2017-09-27DOI: 10.1504/IJIDS.2017.10007807
M. Daradkeh
Most, if not all, decisions are based on information that is susceptible to uncertainty arising from different sources. Consequently, decision-making involves an element of risk. An effective visualisation tool to support decision-making must enable decision makers to not only access decision-relevant information, but also explore and analyse the risk involved in their decisions. In this paper, we analyse a number of main requirements that need to be taken into account when designing information visualisation tools for decision support under risk. Based on these requirements, we design an information visualisation tool called RiDeViz. The main intention of RiDeViz is to facilitate the incorporation of risk into decision-making and allow decision makers to explore multiple 'what-if' scenarios. We demonstrate the utility of RiDeViz through an application example of a financial decision-making scenario.
{"title":"Information visualisation for decision support under risk","authors":"M. Daradkeh","doi":"10.1504/IJIDS.2017.10007807","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10007807","url":null,"abstract":"Most, if not all, decisions are based on information that is susceptible to uncertainty arising from different sources. Consequently, decision-making involves an element of risk. An effective visualisation tool to support decision-making must enable decision makers to not only access decision-relevant information, but also explore and analyse the risk involved in their decisions. In this paper, we analyse a number of main requirements that need to be taken into account when designing information visualisation tools for decision support under risk. Based on these requirements, we design an information visualisation tool called RiDeViz. The main intention of RiDeViz is to facilitate the incorporation of risk into decision-making and allow decision makers to explore multiple 'what-if' scenarios. We demonstrate the utility of RiDeViz through an application example of a financial decision-making scenario.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116930615","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 : 2017-09-27DOI: 10.1504/IJIDS.2017.10007806
Rekik Ali
The objective of this article is to examine and comparatively analyse the models, methods and algorithms of coordination in the hierarchical systems, as well as to determine an optimal general approach to harmonise and accelerate the information flow between the different levels of the hierarchy. In these systems, changing the concept of optimality, so it is very difficult to find an adequate mathematical formulation of the problems and attach a reasonable meaning to the optimality notion. In particular, this paper formulated the coordination task, analysed and mathematically formalised by two groups the coordination algorithms in the multilevel hierarchical systems, including iterative and non-iterative algorithms. Both coordination methods have the role to transfer the information between the hierarchical sublevels and to accelerate the evaluation and implementation of an optimal solution for the control problem. The obtained results are intended to be used in contribution of decision support multilevel hierarchical systems under different conditions and with different systems complexity.
{"title":"Coordination mechanisms in complex hierarchical systems","authors":"Rekik Ali","doi":"10.1504/IJIDS.2017.10007806","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10007806","url":null,"abstract":"The objective of this article is to examine and comparatively analyse the models, methods and algorithms of coordination in the hierarchical systems, as well as to determine an optimal general approach to harmonise and accelerate the information flow between the different levels of the hierarchy. In these systems, changing the concept of optimality, so it is very difficult to find an adequate mathematical formulation of the problems and attach a reasonable meaning to the optimality notion. In particular, this paper formulated the coordination task, analysed and mathematically formalised by two groups the coordination algorithms in the multilevel hierarchical systems, including iterative and non-iterative algorithms. Both coordination methods have the role to transfer the information between the hierarchical sublevels and to accelerate the evaluation and implementation of an optimal solution for the control problem. The obtained results are intended to be used in contribution of decision support multilevel hierarchical systems under different conditions and with different systems complexity.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115263218","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 : 2017-09-27DOI: 10.1504/IJIDS.2017.10007803
Mengying Zhang, Qin Jin, Hongwei Liu
In the traditional cross efficiency procedure, each decision making unit (DMU) offers a set of selfish weights to maximise its own efficiency. However, it is often not easy to be accepted by all other decision making units (DMUs). Since the cross efficiency of a DMU not only has a significant relevance with its own evaluation but also with other peer DMUs' measurement, a DMU may choose to cooperate or compete with some other DMUs to obtain a higher cross efficiency. Secondary-goal strategies, such as benevolent and aggressive strategies, have been applied in groups in which the relationship between each DMU is determined. With the benevolent strategy, all of the DMUs are under the situations of cooperation while they will compete with each other with the aggressive strategy. Obviously in reality, there is a situation in which alliances are often uncertain. Pure aggressive or benevolent strategy may be not suitable for the case. To solve this problem, the current paper proposes a new cross efficiency approach based on a series of common weights of each two DMUs. An example is given to illustrate our method.
{"title":"Group division based on common weights in cross efficiency evaluation","authors":"Mengying Zhang, Qin Jin, Hongwei Liu","doi":"10.1504/IJIDS.2017.10007803","DOIUrl":"https://doi.org/10.1504/IJIDS.2017.10007803","url":null,"abstract":"In the traditional cross efficiency procedure, each decision making unit (DMU) offers a set of selfish weights to maximise its own efficiency. However, it is often not easy to be accepted by all other decision making units (DMUs). Since the cross efficiency of a DMU not only has a significant relevance with its own evaluation but also with other peer DMUs' measurement, a DMU may choose to cooperate or compete with some other DMUs to obtain a higher cross efficiency. Secondary-goal strategies, such as benevolent and aggressive strategies, have been applied in groups in which the relationship between each DMU is determined. With the benevolent strategy, all of the DMUs are under the situations of cooperation while they will compete with each other with the aggressive strategy. Obviously in reality, there is a situation in which alliances are often uncertain. Pure aggressive or benevolent strategy may be not suitable for the case. To solve this problem, the current paper proposes a new cross efficiency approach based on a series of common weights of each two DMUs. An example is given to illustrate our method.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146518","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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