The approach of evaluating the final scores of multi-criteria decision-making(MCDM)methods according to the strength of association with real-life rankings is interesting for comparing MCDM methods.This approach has r...The approach of evaluating the final scores of multi-criteria decision-making(MCDM)methods according to the strength of association with real-life rankings is interesting for comparing MCDM methods.This approach has recently been applied mostly to financial data.In these studies,where it is emphasized that some methods show more stable success,it would be useful to see the results that will emerge by testing the approach on different data structures more comprehensively.Moreover,not only the final MCDM results but also the performance of normalization techniques and data types(fuzzy or crisp),which are components of MCDM,can be compared using the same approach.These components also have the potential to affect MCDM results directly.In this direction,in our study,the economic performances of G-20(Group of 20)countries,which have different data structures,were calculated over ten different periodic decision matrices.Ten different crisp-based MCDM methods(COPRAS,CODAS,MOORA,TOPSIS,MABAC,VIKOR(S,R,Q),FUCA,and ELECTRE III)with different capabilities were used to better visualize the big picture.The relationships between two different real-life reference anchors and MCDM methods were used as a basis for comparison.The CODAS method develops a high correlation with both anchors in most periods.The most appropriate normalization technique for CODAS was identified using these two anchors.Interestingly,the maximum normalization technique was the most successful among the alternatives(max,min–max,vector,sum,and alternative ranking-based).Moreover,we compared the two main data types by comparing the correlation results of crisp-based and fuzzy-based CODAS.The results were very consistent,and the“Maximum normalization-based fuzzy integrated CODAS procedure”was proposed to decision-makers to measure the economic performance of the countries.展开更多
The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attr...The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attracting attention as one of the country’s most important resources in Korea.This study developed a groundwater potential map(GPM)for the exploration of groundwater in the Geumgang River basin,one of the four major river basins in Korea.This consisted of ten thematic layers(hydrogeology,fractured zone,depth to groundwater level,distance to surface water,lineament density,slope,stream drainage density,soil drainage,land cover,and annual rainfall)of remotely sensed data and satellite images to explore a wide range of areas.Each thematic layer was weighted through Analytical Hierarchal Process and Technique for Order Preference by Similarity to Ideal Solution,and the groundwater potential was determined.The final GPM are classified into five categories:very high,high,moderate,low,and very low.To verify the GPM,specific capacity data from a total of 2,671 wells was used.The GPM in this study make groundwater to be considered as promising and feasible alternative resource to surface water in case of future climate crisis such as heavy drought.展开更多
Facility layout selection is a multi-criteria decision making (MCDM) problem,since it has a strategic impact on the efficiency of manufacturing system.In view of the interdependency among selection criteria,analytic n...Facility layout selection is a multi-criteria decision making (MCDM) problem,since it has a strategic impact on the efficiency of manufacturing system.In view of the interdependency among selection criteria,analytic network process (ANP) is proposed to analyze the structure of the facility layout selection problem and determine the weights for each criterion.A network structure is constructed that shows all elements and clusters and their interactions.Limit priorities are also calculated which help decision maker evaluate the relative importance among criterion in the alternative selection process.Moreover,a hybrid MCDM approach that employs ANP and technique for order preference by similarity to an ideal solution (TOPSIS)method to rank the optimal facility layout alternatives.Finally,an application of a new aeronautic component assembly workshop facility layout selection is conducted.To further illustrate the advantage of the proposed approach,the difference between ANP-TOPSIS and AHP-TOPSIS methods are compared and discussed.Results have demonstrated the effectiveness and feasibility of the proposed method.展开更多
The application of data envelopment analysis （DEA） as a multiple criteria decision making （MCDM） technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the...The application of data envelopment analysis （DEA） as a multiple criteria decision making （MCDM） technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit （DMU） might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared. The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.展开更多
The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict l...The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal grades.To relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)process.SLDFSs can classify a physical systemwith the help of reference parameters.We discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal choice.We show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation operators.Some new operations on picture fuzzy sets are also introduced.Some fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are proposed.New aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM approach.An application of the proposed methodology with SLDF information is illustrated.The comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.展开更多
The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The p...The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.展开更多
Evaluation of commercial banks(CBs)performance has been a signicant issue in the nancial world and deemed as a multi-criteria decision making(MCDM)model.Numerous research assesses CB performance according to different...Evaluation of commercial banks(CBs)performance has been a signicant issue in the nancial world and deemed as a multi-criteria decision making(MCDM)model.Numerous research assesses CB performance according to different metrics and standers.As a result of uncertainty in decision-making problems and large economic variations in Egypt,this research proposes a plithogenic based model to evaluate Egyptian commercial banks’performance based on a set of criteria.The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including nancial,customer satisfaction,and qualitative evaluation,and 19 subcriteria.The proportional importance of the selected criteria is evaluated by the Analytic Hierarchy Process(AHP).Furthermore,the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS),Vlse Kriterijumska Optimizacija Kompro-misno Resenje(VIKOR),and COmplex PRoportional ASsessment(COPRAS)are adopted to rank the top ten Egyptian banks based on their performance,comparatively.The main role of this research is to apply the proposed integrated MCDM framework under the plithogenic environment to measure the performance of the CBs under uncertainty.All results show that CIB has the best performance while Faisal Islamic Bank and Bank Audi have the least performance among the top 10 CBs in Egypt.展开更多
文摘The approach of evaluating the final scores of multi-criteria decision-making(MCDM)methods according to the strength of association with real-life rankings is interesting for comparing MCDM methods.This approach has recently been applied mostly to financial data.In these studies,where it is emphasized that some methods show more stable success,it would be useful to see the results that will emerge by testing the approach on different data structures more comprehensively.Moreover,not only the final MCDM results but also the performance of normalization techniques and data types(fuzzy or crisp),which are components of MCDM,can be compared using the same approach.These components also have the potential to affect MCDM results directly.In this direction,in our study,the economic performances of G-20(Group of 20)countries,which have different data structures,were calculated over ten different periodic decision matrices.Ten different crisp-based MCDM methods(COPRAS,CODAS,MOORA,TOPSIS,MABAC,VIKOR(S,R,Q),FUCA,and ELECTRE III)with different capabilities were used to better visualize the big picture.The relationships between two different real-life reference anchors and MCDM methods were used as a basis for comparison.The CODAS method develops a high correlation with both anchors in most periods.The most appropriate normalization technique for CODAS was identified using these two anchors.Interestingly,the maximum normalization technique was the most successful among the alternatives(max,min–max,vector,sum,and alternative ranking-based).Moreover,we compared the two main data types by comparing the correlation results of crisp-based and fuzzy-based CODAS.The results were very consistent,and the“Maximum normalization-based fuzzy integrated CODAS procedure”was proposed to decision-makers to measure the economic performance of the countries.
基金supported by the Basic Research Project(21-3411)of the Korea Institute of Geoscience and Mineral Resourcesthe National Research Foundation of Korea(NRF)under the Ministry of Science and ICT(No.RS-2023-00210810).
文摘The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attracting attention as one of the country’s most important resources in Korea.This study developed a groundwater potential map(GPM)for the exploration of groundwater in the Geumgang River basin,one of the four major river basins in Korea.This consisted of ten thematic layers(hydrogeology,fractured zone,depth to groundwater level,distance to surface water,lineament density,slope,stream drainage density,soil drainage,land cover,and annual rainfall)of remotely sensed data and satellite images to explore a wide range of areas.Each thematic layer was weighted through Analytical Hierarchal Process and Technique for Order Preference by Similarity to Ideal Solution,and the groundwater potential was determined.The final GPM are classified into five categories:very high,high,moderate,low,and very low.To verify the GPM,specific capacity data from a total of 2,671 wells was used.The GPM in this study make groundwater to be considered as promising and feasible alternative resource to surface water in case of future climate crisis such as heavy drought.
基金supported by the National Natural Science Foundation of China (No.51575274)the National Defense Basic Scientific Research Program of China (No.JCKY2016605B006)the Key Research and Development Project of Jiangxi Province in China (No.20161ACE50004)
文摘Facility layout selection is a multi-criteria decision making (MCDM) problem,since it has a strategic impact on the efficiency of manufacturing system.In view of the interdependency among selection criteria,analytic network process (ANP) is proposed to analyze the structure of the facility layout selection problem and determine the weights for each criterion.A network structure is constructed that shows all elements and clusters and their interactions.Limit priorities are also calculated which help decision maker evaluate the relative importance among criterion in the alternative selection process.Moreover,a hybrid MCDM approach that employs ANP and technique for order preference by similarity to an ideal solution (TOPSIS)method to rank the optimal facility layout alternatives.Finally,an application of a new aeronautic component assembly workshop facility layout selection is conducted.To further illustrate the advantage of the proposed approach,the difference between ANP-TOPSIS and AHP-TOPSIS methods are compared and discussed.Results have demonstrated the effectiveness and feasibility of the proposed method.
文摘The application of data envelopment analysis （DEA） as a multiple criteria decision making （MCDM） technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit （DMU） might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared. The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.
文摘The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal grades.To relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)process.SLDFSs can classify a physical systemwith the help of reference parameters.We discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal choice.We show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation operators.Some new operations on picture fuzzy sets are also introduced.Some fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are proposed.New aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM approach.An application of the proposed methodology with SLDF information is illustrated.The comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.
文摘The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.
基金supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)the Soonchunhyang University Research Fund。
文摘Evaluation of commercial banks(CBs)performance has been a signicant issue in the nancial world and deemed as a multi-criteria decision making(MCDM)model.Numerous research assesses CB performance according to different metrics and standers.As a result of uncertainty in decision-making problems and large economic variations in Egypt,this research proposes a plithogenic based model to evaluate Egyptian commercial banks’performance based on a set of criteria.The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including nancial,customer satisfaction,and qualitative evaluation,and 19 subcriteria.The proportional importance of the selected criteria is evaluated by the Analytic Hierarchy Process(AHP).Furthermore,the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS),Vlse Kriterijumska Optimizacija Kompro-misno Resenje(VIKOR),and COmplex PRoportional ASsessment(COPRAS)are adopted to rank the top ten Egyptian banks based on their performance,comparatively.The main role of this research is to apply the proposed integrated MCDM framework under the plithogenic environment to measure the performance of the CBs under uncertainty.All results show that CIB has the best performance while Faisal Islamic Bank and Bank Audi have the least performance among the top 10 CBs in Egypt.
