The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey dat...The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey data and GIS.A total of 40 soil samples from Tulaipanji rice fields(from 0 to 40 cm depth)have been randomly collected for the analysis of the soil health condition.For the purpose of assigning ratings to the parameters,ten experts'opinions were taken into account.The final soil fertility map indicates that 18.01%of the land is in excellent health condition to support Tulaipanji cultivation.The artificial neural networks(ANN),support vector machine(SVM),and Bagging models-based suitability analysis was also done using geo-spatial and soil data for Tulaipanji cultivation.Nevertheless,the ANN is the more appropriate model for locational analysis of Tulaipanji cultivation.The ANN-based findings show that areas of 25.8%(77.89 sq.km)are excellent for growing Tulaipanji rice,about 22.01%(66.45 sq.km)are highly suitable,19.84%(59.90 sq.km)are moderately suitable,21.19%(63.97 sq.km)are low suitable and 11.16%(33.69 sq.km)are not suitable for Tulaipanji rice cultivation.The receiver operating characteristic(ROC)curve depicts that the applied models have a high degree of accuracy.This endeavour will aid much in the soil fertility and site suitability assessment that will aid local government officials,academics,and the framers,to utilize the lands in a scientific way.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
This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP). AHP as a multi criteria decision aid helped decision mak...This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP). AHP as a multi criteria decision aid helped decision makers for ana-lyzing and prioritizing the alternatives in a hierarchical structure. During times AHP encountered some problems. Hence, fuzzy analytic hierarchy process (FAHP) and some other extensions of AHP have been configured to solve those problems.展开更多
This paper presents the results of multi-criteria decision-making (MCDM) approach for flood risk and sediment management in dynamic alluvial fan. The study is based on real problems of Koshi River, Nepal. Criteria wei...This paper presents the results of multi-criteria decision-making (MCDM) approach for flood risk and sediment management in dynamic alluvial fan. The study is based on real problems of Koshi River, Nepal. Criteria weighting for each measure were estimated using Entropy, AHP and AHP-Entropy techniques. Preference ranking of alternatives was prioritized using MCDM methods—ELECTRE, TOPSIS and SAW. Five alternate measures for flood risk management and eight alternate measures for sediment control with seven evaluation criteria comprising economic, social, environmental and political aspects were taken into account. The Spearman’s rank correlation coefficient between the criteria weighting techniques AHP and AHP-Entropy, Entropy and AHP-Entropy and AHP with Entropy were 0.964, 0.429 and 0.321 respectively. Preference ranks were determined using nine combinations of criteria weighting techniques and preference ranking methods. In the case of flood risk management, using of old Koshi channel was recommended as the highest prioritized solution. Similarly, for sediment control, reduction of upstream sediment supply was recommended as the top prioritized measures. The Euclidean distance test for each pairs of criteria weighting and prioritization methods showed all three MCDM methods of preference ranking were sensitive to weighting. On implementation of the recommended measures, local people of Sunsari, Saptari and Morang districts of Nepal will be highly benefited.展开更多
I<span style="font-family:Verdana;">n Ghana, freight transport is growing continuously every year due to its location and business processes. However, road transport carries 86% of frei</span><...I<span style="font-family:Verdana;">n Ghana, freight transport is growing continuously every year due to its location and business processes. However, road transport carries 86% of frei</span><span style="font-family:Verdana;">ght despite its numerous negative impacts. Hence, the government has invested in rail transport, with 70% of its capacity is for freight transport in her busy freight transport corridor (eastern transport regions of Ghana). Thus, awareness of criteria considered when deciding on freight transport becomes vital. Hence, this study aims to improve the understanding of the fa</span><span style="font-family:Verdana;">ctors of freight transport mode selection in Ghana from the decision-</span><span style="font-family:Verdana;">making process by identifying criteria that affect their decisions on mode transportation. The combination of Fuzzy AHP and Topsis is used to find the weights and suggest suitable alternatives for the decision-makers in the Eastern transport regions of Ghana. The result of this study shows that the criteria to consider when selecting freight transport mode in the regions are prioritized in other of Transport cost (0.6544), transport Time factors (0.2562), reliability, and flexibility (0.0605), and security, Risk of damage and lose factors (0.0287). Additionally, the suitable mode(s) of transportation in the stated corridor is owned truck carrier transport compared to the railroad, road-barge, and Contracted Carrier, thus, in descending order. The results provide organizations to prioritize these factors when deciding to select freight transport mode. At the same time, the government must remove some inputs that result in high transport cost</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;">, enforce</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">policies, and invest in the appropriate mode.</span>展开更多
Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in sof...Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in software quality function and usability deployment are essential since they are directly related to development of high quality products with high customer satisfaction. Software quality can be measured as the degree to which a particular software program complies with consumer demand regarding function and characteristics. Target setting is usually subjective in practice, which is unscientific. Therefore, this study proposes a quantity model for controlling and measuring software quality via the expert decision-making algorithm-based method for constructing an evaluation method can provide software in relation to users and purchasers, thus enabling administrators or decision makers to identify the most appropriate software quality. Importantly, the proposed model can provide s users and purchasers a reference material, making it highly applicable for academic and government purposes.展开更多
Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area i...Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area is how to select the best university for collaboration. This selection undoubtedly affects some other strategic activities of firms, such as managing and governing the relationship with the selected university and, most importantly, firm performance. As such, the selection becomes an important strategic decision that deserves a great deal of attention. Thus far, no systematic attempt has been made to investigate this significant area of research. The main purpose of this study is to formulate a decision-making model for university selection. Reviewing existing literature of university-industry relationship yields a list of relevant criteria for this problem. The problem is then formulated as a multi-criteria decision-making （MCDM） model, and a fuzzy AHP is used to provide the solution. To illustrate the model, three Dutch universities are ranked based on the importance of the selected criteria.展开更多
Automation systems for buildings interconnect components and technologies from the information technology industry and the telecommunications industry.In these industries,existing platforms and new platforms（that are...Automation systems for buildings interconnect components and technologies from the information technology industry and the telecommunications industry.In these industries,existing platforms and new platforms（that are designed to make building automation systems work） compete for market acceptance and consequently several platform battles among suppliers for building automation networking are being waged.It is unclear what the outcome of these battles will be and also which factors are important in achieving platform dominance.Taking the fuzziness of decision makers＇ judgments into account,a fuzzy multi-criteria decision-making methodology called the Fuzzy Analytic Hierarchy Process is applied to investigate the importance of such factors in platform battles for building automation networking.We present the relative importance of the factors for three types of platforms（subsystem platforms,system platforms,and evolved subsystem platforms）.The results provide a first indication that the set of important factors differs per type of platform.For example,when focusing on other stakeholders,for subsystem platforms,the previous installed base is of importance;for system platforms,the diversity of the network of stakeholders is essential;and for evolved subsystem platforms,the judiciary is an important factor.展开更多
文摘The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in Kaliyaganj C.D.Block using the Analytic Hierarchy Process(AHP)and Machine learning algorithms along with the field survey data and GIS.A total of 40 soil samples from Tulaipanji rice fields(from 0 to 40 cm depth)have been randomly collected for the analysis of the soil health condition.For the purpose of assigning ratings to the parameters,ten experts'opinions were taken into account.The final soil fertility map indicates that 18.01%of the land is in excellent health condition to support Tulaipanji cultivation.The artificial neural networks(ANN),support vector machine(SVM),and Bagging models-based suitability analysis was also done using geo-spatial and soil data for Tulaipanji cultivation.Nevertheless,the ANN is the more appropriate model for locational analysis of Tulaipanji cultivation.The ANN-based findings show that areas of 25.8%(77.89 sq.km)are excellent for growing Tulaipanji rice,about 22.01%(66.45 sq.km)are highly suitable,19.84%(59.90 sq.km)are moderately suitable,21.19%(63.97 sq.km)are low suitable and 11.16%(33.69 sq.km)are not suitable for Tulaipanji rice cultivation.The receiver operating characteristic(ROC)curve depicts that the applied models have a high degree of accuracy.This endeavour will aid much in the soil fertility and site suitability assessment that will aid local government officials,academics,and the framers,to utilize the lands in a scientific way.
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This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP). AHP as a multi criteria decision aid helped decision makers for ana-lyzing and prioritizing the alternatives in a hierarchical structure. During times AHP encountered some problems. Hence, fuzzy analytic hierarchy process (FAHP) and some other extensions of AHP have been configured to solve those problems.
文摘This paper presents the results of multi-criteria decision-making (MCDM) approach for flood risk and sediment management in dynamic alluvial fan. The study is based on real problems of Koshi River, Nepal. Criteria weighting for each measure were estimated using Entropy, AHP and AHP-Entropy techniques. Preference ranking of alternatives was prioritized using MCDM methods—ELECTRE, TOPSIS and SAW. Five alternate measures for flood risk management and eight alternate measures for sediment control with seven evaluation criteria comprising economic, social, environmental and political aspects were taken into account. The Spearman’s rank correlation coefficient between the criteria weighting techniques AHP and AHP-Entropy, Entropy and AHP-Entropy and AHP with Entropy were 0.964, 0.429 and 0.321 respectively. Preference ranks were determined using nine combinations of criteria weighting techniques and preference ranking methods. In the case of flood risk management, using of old Koshi channel was recommended as the highest prioritized solution. Similarly, for sediment control, reduction of upstream sediment supply was recommended as the top prioritized measures. The Euclidean distance test for each pairs of criteria weighting and prioritization methods showed all three MCDM methods of preference ranking were sensitive to weighting. On implementation of the recommended measures, local people of Sunsari, Saptari and Morang districts of Nepal will be highly benefited.
文摘I<span style="font-family:Verdana;">n Ghana, freight transport is growing continuously every year due to its location and business processes. However, road transport carries 86% of frei</span><span style="font-family:Verdana;">ght despite its numerous negative impacts. Hence, the government has invested in rail transport, with 70% of its capacity is for freight transport in her busy freight transport corridor (eastern transport regions of Ghana). Thus, awareness of criteria considered when deciding on freight transport becomes vital. Hence, this study aims to improve the understanding of the fa</span><span style="font-family:Verdana;">ctors of freight transport mode selection in Ghana from the decision-</span><span style="font-family:Verdana;">making process by identifying criteria that affect their decisions on mode transportation. The combination of Fuzzy AHP and Topsis is used to find the weights and suggest suitable alternatives for the decision-makers in the Eastern transport regions of Ghana. The result of this study shows that the criteria to consider when selecting freight transport mode in the regions are prioritized in other of Transport cost (0.6544), transport Time factors (0.2562), reliability, and flexibility (0.0605), and security, Risk of damage and lose factors (0.0287). Additionally, the suitable mode(s) of transportation in the stated corridor is owned truck carrier transport compared to the railroad, road-barge, and Contracted Carrier, thus, in descending order. The results provide organizations to prioritize these factors when deciding to select freight transport mode. At the same time, the government must remove some inputs that result in high transport cost</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;">, enforce</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">policies, and invest in the appropriate mode.</span>
文摘Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in software quality function and usability deployment are essential since they are directly related to development of high quality products with high customer satisfaction. Software quality can be measured as the degree to which a particular software program complies with consumer demand regarding function and characteristics. Target setting is usually subjective in practice, which is unscientific. Therefore, this study proposes a quantity model for controlling and measuring software quality via the expert decision-making algorithm-based method for constructing an evaluation method can provide software in relation to users and purchasers, thus enabling administrators or decision makers to identify the most appropriate software quality. Importantly, the proposed model can provide s users and purchasers a reference material, making it highly applicable for academic and government purposes.
文摘Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area is how to select the best university for collaboration. This selection undoubtedly affects some other strategic activities of firms, such as managing and governing the relationship with the selected university and, most importantly, firm performance. As such, the selection becomes an important strategic decision that deserves a great deal of attention. Thus far, no systematic attempt has been made to investigate this significant area of research. The main purpose of this study is to formulate a decision-making model for university selection. Reviewing existing literature of university-industry relationship yields a list of relevant criteria for this problem. The problem is then formulated as a multi-criteria decision-making （MCDM） model, and a fuzzy AHP is used to provide the solution. To illustrate the model, three Dutch universities are ranked based on the importance of the selected criteria.
文摘Automation systems for buildings interconnect components and technologies from the information technology industry and the telecommunications industry.In these industries,existing platforms and new platforms（that are designed to make building automation systems work） compete for market acceptance and consequently several platform battles among suppliers for building automation networking are being waged.It is unclear what the outcome of these battles will be and also which factors are important in achieving platform dominance.Taking the fuzziness of decision makers＇ judgments into account,a fuzzy multi-criteria decision-making methodology called the Fuzzy Analytic Hierarchy Process is applied to investigate the importance of such factors in platform battles for building automation networking.We present the relative importance of the factors for three types of platforms（subsystem platforms,system platforms,and evolved subsystem platforms）.The results provide a first indication that the set of important factors differs per type of platform.For example,when focusing on other stakeholders,for subsystem platforms,the previous installed base is of importance;for system platforms,the diversity of the network of stakeholders is essential;and for evolved subsystem platforms,the judiciary is an important factor.
