Pub Date : 2016-04-04DOI: 10.1504/IJMCDM.2016.075630
D. Bigaud, François Thibault, Laurent Gobert
With the outsourcing and the increasing demand of facilities management services, we observe the growing of multi-technical contracts in real estate operations and maintenance (O%M). Selection of one or more contractors is actually complex and important financial and quality of service challenges depend on it. The present paper proposes a multiple-criteria decision-making tool whose objective is to predict contractors' performances and to select the one who can best respond to O%M demands. In order to build the heuristic between technical, commercial and quality criteria and the expected performances, a neuro-fuzzy system (NFS) associated with a hybrid and adaptive genetic algorithms (GA) method has been developed. Important problems are considered: data pre-processing, problem of data scarcity to provide a sufficient number of data to the NFS and optimisation of hybridisation or adaptation parameters for GA. A case study, concerning the clients' satisfaction levels for O%M contractors as a final indicator for decision-making will prove the relevance of this approach.
{"title":"Decision-making through a fuzzy hybrid AI system for selection of a third-party operations and maintenance provider","authors":"D. Bigaud, François Thibault, Laurent Gobert","doi":"10.1504/IJMCDM.2016.075630","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.075630","url":null,"abstract":"With the outsourcing and the increasing demand of facilities management services, we observe the growing of multi-technical contracts in real estate operations and maintenance (O%M). Selection of one or more contractors is actually complex and important financial and quality of service challenges depend on it. The present paper proposes a multiple-criteria decision-making tool whose objective is to predict contractors' performances and to select the one who can best respond to O%M demands. In order to build the heuristic between technical, commercial and quality criteria and the expected performances, a neuro-fuzzy system (NFS) associated with a hybrid and adaptive genetic algorithms (GA) method has been developed. Important problems are considered: data pre-processing, problem of data scarcity to provide a sufficient number of data to the NFS and optimisation of hybridisation or adaptation parameters for GA. A case study, concerning the clients' satisfaction levels for O%M contractors as a final indicator for decision-making will prove the relevance of this approach.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"35-65"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2016.075630","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696310","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}
In recent years, socially responsible investing (SRI) has grown from a niche to a mainstream investment strategy. Consequently, the supply of SRI mutual funds expanded and a discussion on the performance of SRI funds developed. The traditional approach to measuring mutual fund performance does not take into account possible heterogeneity with respect to social responsibility and focuses on a dichotomous SRI versus non-SRI typology. We consider multi-criteria decision analysis (MCDA) to build an indicator to capture the multi-faceted nature of SRI. Considering extensive robustness analysis and additional criteria, we find the PROMETHEE methodology to be most recommended for both academic and professional applications. The obtained scores and rankings prove to be highly robust and are in line with generally accepted intuition in the industry. The proposed PROMETHEE-based indicator is also easy to understand and implement, which makes it highly suited for implementation in mutual fund performance research.
{"title":"Process-oriented social responsibility indicator for mutual funds: a multi-criteria decision analysis approach","authors":"T. Verheyden, L. Moor","doi":"10.2139/SSRN.2386566","DOIUrl":"https://doi.org/10.2139/SSRN.2386566","url":null,"abstract":"In recent years, socially responsible investing (SRI) has grown from a niche to a mainstream investment strategy. Consequently, the supply of SRI mutual funds expanded and a discussion on the performance of SRI funds developed. The traditional approach to measuring mutual fund performance does not take into account possible heterogeneity with respect to social responsibility and focuses on a dichotomous SRI versus non-SRI typology. We consider multi-criteria decision analysis (MCDA) to build an indicator to capture the multi-faceted nature of SRI. Considering extensive robustness analysis and additional criteria, we find the PROMETHEE methodology to be most recommended for both academic and professional applications. The obtained scores and rankings prove to be highly robust and are in line with generally accepted intuition in the industry. The proposed PROMETHEE-based indicator is also easy to understand and implement, which makes it highly suited for implementation in mutual fund performance research.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"66-99"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68166521","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 : 2016-01-09DOI: 10.1504/ijmcdm.2015.074087
C. Macharis, D. Meers, T. Lier
To tackle the modal choice decision problem in container transport, a decision support model for comparing intermodal and unimodal road transport is developed, using a combined multi-criteria decision analysis - geographic information system approach. Multi-criteria decision analysis allows to simultaneously analyse many, possibly conflicting, modal choice criteria. First, a geographic information system-based model calculates the size or the score of the considered criteria, for each alternative route. Next, the multi-criteria decision analysis makes trade-offs among the relevant criteria and selects the most suitable transport option for a given transport. The model is tested for transport problems within Belgium, but can be applied to other cases. The comprehensive model can be used to make more consistent modal choice decisions to meet the specific preferences of users.
{"title":"Modal choice in freight transport: combining multi-criteria decision analysis and geographic information systems","authors":"C. Macharis, D. Meers, T. Lier","doi":"10.1504/ijmcdm.2015.074087","DOIUrl":"https://doi.org/10.1504/ijmcdm.2015.074087","url":null,"abstract":"To tackle the modal choice decision problem in container transport, a decision support model for comparing intermodal and unimodal road transport is developed, using a combined multi-criteria decision analysis - geographic information system approach. Multi-criteria decision analysis allows to simultaneously analyse many, possibly conflicting, modal choice criteria. First, a geographic information system-based model calculates the size or the score of the considered criteria, for each alternative route. Next, the multi-criteria decision analysis makes trade-offs among the relevant criteria and selects the most suitable transport option for a given transport. The model is tested for transport problems within Belgium, but can be applied to other cases. The comprehensive model can be used to make more consistent modal choice decisions to meet the specific preferences of users.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"355-371"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmcdm.2015.074087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696162","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 : 2016-01-09DOI: 10.1504/IJMCDM.2015.074090
J. Brans
The author has been Professor Operational Research (OR) from 1963 to 2007 at both the VUB and the ULB Universities of Brussels. On January 22, 2014, his former collaborators (Cathy Macharis, Yves De Smet and Bertrand Mareschal) organised a workshop on the 'PROMETHEE' multicriteria decision aid (MCDA) procedure, the author having been the initiator of this methodology in the 1980s. Over 60 participants attended this workshop and 25 research papers were presented. As it has been an important research field in his scientific carrier, the author has been invited by the organisers of the workshop to give a survey paper on this subject. He felt particularly honoured by this initiative and accepted with pleasure the invitation. This paper includes a brief overview of OR from 1937 till now, the role of the outranking procedures in the field of MCDA and the PROMETHEE methodology including its extensions being of course stressed. Some proposals for further research and developments are suggested. A 'Jean-Pierre Brans-PROMETHEE prize' has been awarded to the best contribution presented at the workshop, and a foundation to support such an activity each year will be established in a near future.
作者于1963年至2007年在布鲁塞尔大学和布鲁塞尔大学担任运筹学教授。2014年1月22日，他的前合作者(Cathy Macharis, Yves De Smet和Bertrand Mareschal)组织了一个关于“PROMETHEE”多标准决策辅助(MCDA)程序的研讨会，作者在20世纪80年代是该方法的发起者。超过60名与会者出席了研讨会，并发表了25篇研究论文。由于这一直是他的科学载体中的一个重要研究领域，作者已被研讨会的组织者邀请就这一主题发表一篇调查论文。他对这一倡议感到特别荣幸，并愉快地接受了邀请。本文包括从1937年至今的OR的简要概述，排名程序在MCDA和PROMETHEE方法论领域的作用，当然也强调了它的扩展。并对今后的研究和发展提出了建议。“让-皮埃尔·布兰斯-普罗米修斯奖”将颁发给在研讨会上做出最佳贡献的人，并将在不久的将来建立一个基金会来支持每年的此类活动。
{"title":"The 'PROMETHEE' adventure","authors":"J. Brans","doi":"10.1504/IJMCDM.2015.074090","DOIUrl":"https://doi.org/10.1504/IJMCDM.2015.074090","url":null,"abstract":"The author has been Professor Operational Research (OR) from 1963 to 2007 at both the VUB and the ULB Universities of Brussels. On January 22, 2014, his former collaborators (Cathy Macharis, Yves De Smet and Bertrand Mareschal) organised a workshop on the 'PROMETHEE' multicriteria decision aid (MCDA) procedure, the author having been the initiator of this methodology in the 1980s. Over 60 participants attended this workshop and 25 research papers were presented. As it has been an important research field in his scientific carrier, the author has been invited by the organisers of the workshop to give a survey paper on this subject. He felt particularly honoured by this initiative and accepted with pleasure the invitation. This paper includes a brief overview of OR from 1937 till now, the role of the outranking procedures in the field of MCDA and the PROMETHEE methodology including its extensions being of course stressed. Some proposals for further research and developments are suggested. A 'Jean-Pierre Brans-PROMETHEE prize' has been awarded to the best contribution presented at the workshop, and a foundation to support such an activity each year will be established in a near future.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"297-308"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2015.074090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696248","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 : 2016-01-09DOI: 10.1504/ijmcdm.2015.074089
Bastian Schmidtmann, Genoveva Schmidtmann
In this paper, we present a new method of visualising the results of PROMETHEE and a comparison of the new method with the common GAIA method (Mareschal and Brans, 1988) and reveal its application in the context of choice for alternative vehicles. Visualisation methods make the impact of each single criterion and its weight on every single alternative visible. The most common method for visualising the results of PROMETHEE models is the GAIA method. To evaluate if GAIA itself or visualisation methods themselves are difficult to handle for the decision maker a new visualisation method for PROMETHEE results is developed and compared with the GAIA method. The method we introduce in this paper is based on the classical multidimensional scaling (MDS) (Chatfield and Collins, 1980). MDS is extended by property fitting to integrate each single criterion into the visualisation (Homburg and Krohmer, 2009). We compare the results by applying the procrustes analysis (Gower and Dijksterhuis, 2004). Finally, we give an outlook of future research aspects on the comparison and the new visualisation method in particular.
在本文中，我们提出了一种将PROMETHEE结果可视化的新方法，并将新方法与常见的GAIA方法(Mareschal和Brans, 1988)进行了比较，并揭示了其在替代车辆选择方面的应用。可视化方法使每个单一标准的影响及其对每个单一替代方案的权重可见。将PROMETHEE模型的结果可视化的最常用方法是GAIA方法。为了评估GAIA本身或可视化方法本身是否难以为决策者处理，开发了一种新的PROMETHEE结果可视化方法，并与GAIA方法进行了比较。本文介绍的方法是基于经典的多维标度(MDS) (Chatfield and Collins, 1980)。MDS通过属性拟合进行扩展，将每个单一标准集成到可视化中(Homburg和Krohmer, 2009)。我们通过应用procrustes分析来比较结果(Gower和Dijksterhuis, 2004)。最后，我们对未来的研究方向进行了展望，特别是对新的可视化方法进行了展望。
{"title":"Comparing principal component analysis and multidimensional scaling for the representation of PROMETHEE results","authors":"Bastian Schmidtmann, Genoveva Schmidtmann","doi":"10.1504/ijmcdm.2015.074089","DOIUrl":"https://doi.org/10.1504/ijmcdm.2015.074089","url":null,"abstract":"In this paper, we present a new method of visualising the results of PROMETHEE and a comparison of the new method with the common GAIA method (Mareschal and Brans, 1988) and reveal its application in the context of choice for alternative vehicles. Visualisation methods make the impact of each single criterion and its weight on every single alternative visible. The most common method for visualising the results of PROMETHEE models is the GAIA method. To evaluate if GAIA itself or visualisation methods themselves are difficult to handle for the decision maker a new visualisation method for PROMETHEE results is developed and compared with the GAIA method. The method we introduce in this paper is based on the classical multidimensional scaling (MDS) (Chatfield and Collins, 1980). MDS is extended by property fitting to integrate each single criterion into the visualisation (Homburg and Krohmer, 2009). We compare the results by applying the procrustes analysis (Gower and Dijksterhuis, 2004). Finally, we give an outlook of future research aspects on the comparison and the new visualisation method in particular.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"372-384"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmcdm.2015.074089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696234","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 : 2016-01-09DOI: 10.1504/ijmcdm.2015.074088
Lauriane Milan, B. Kin, S. Verlinde, C. Macharis
Urban areas are facing several challenges, especially to organise freight transport in a sustainable way. Many innovative city distribution concepts have failed because not all stakeholders were taken into account in the decision-making process. Evaluating urban freight solutions summons the need for a new approach, taking into consideration different conflicting objectives from different stakeholders. Within STRAIGHTSOL (strategies and measures for smarter urban freight solutions, EC FP7), a systematic impact assessment framework dedicated to freight transportation has been developed. The so-called city distribution - multi-actor multi-criteria analysis (CD-MAMCA) incorporates the city distribution actors and their objectives as the primary focus complemented with a MCDA performed with the PROMETHEE-GDSS method. In this paper, the specific framework dedicated to city distribution is fully explained through a case study in the UK charity sector with Oxfam which tested remote monitoring of the banks leading to dynamic collection scheduling.
{"title":"Multi-actor multi-criteria analysis for sustainable city distribution: a new assessment framework","authors":"Lauriane Milan, B. Kin, S. Verlinde, C. Macharis","doi":"10.1504/ijmcdm.2015.074088","DOIUrl":"https://doi.org/10.1504/ijmcdm.2015.074088","url":null,"abstract":"Urban areas are facing several challenges, especially to organise freight transport in a sustainable way. Many innovative city distribution concepts have failed because not all stakeholders were taken into account in the decision-making process. Evaluating urban freight solutions summons the need for a new approach, taking into consideration different conflicting objectives from different stakeholders. Within STRAIGHTSOL (strategies and measures for smarter urban freight solutions, EC FP7), a systematic impact assessment framework dedicated to freight transportation has been developed. The so-called city distribution - multi-actor multi-criteria analysis (CD-MAMCA) incorporates the city distribution actors and their objectives as the primary focus complemented with a MCDA performed with the PROMETHEE-GDSS method. In this paper, the specific framework dedicated to city distribution is fully explained through a case study in the UK charity sector with Oxfam which tested remote monitoring of the banks leading to dynamic collection scheduling.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"334-354"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmcdm.2015.074088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696176","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 : 2016-01-09DOI: 10.1504/ijmcdm.2015.074085
Nils Lerche, Jutta Geldermann
An important objective of outranking methods is that the decision maker should be able to incorporate any argument into the process to achieve better awareness of the decision problem. However, in order to represent actual preferences of the decision maker, consideration of behavioural effects appears to be necessary. In this paper, a new approach that integrates findings from prospect theory into PROMETHEE is illustrated. In particular, the elements of reference dependency and loss aversion are incorporated. For this purpose, it is necessary to define an adequate reference alternative. Moreover, the existing preference functions and the way of aggregating pairwise comparisons have been adjusted. In order to test the newly developed approach, it is applied using an existing decision matrix from a joint research project concerned with the identification of a sustainable bioenergy concept. Finally, the results as well as potential advantages and challenges of the new approach are discussed.
{"title":"Integration of prospect theory into PROMETHEE - a case study concerning sustainable bioenergy concepts","authors":"Nils Lerche, Jutta Geldermann","doi":"10.1504/ijmcdm.2015.074085","DOIUrl":"https://doi.org/10.1504/ijmcdm.2015.074085","url":null,"abstract":"An important objective of outranking methods is that the decision maker should be able to incorporate any argument into the process to achieve better awareness of the decision problem. However, in order to represent actual preferences of the decision maker, consideration of behavioural effects appears to be necessary. In this paper, a new approach that integrates findings from prospect theory into PROMETHEE is illustrated. In particular, the elements of reference dependency and loss aversion are incorporated. For this purpose, it is necessary to define an adequate reference alternative. Moreover, the existing preference functions and the way of aggregating pairwise comparisons have been adjusted. In order to test the newly developed approach, it is applied using an existing decision matrix from a joint research project concerned with the identification of a sustainable bioenergy concept. Finally, the results as well as potential advantages and challenges of the new approach are discussed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"64 1","pages":"309-333"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmcdm.2015.074085","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696096","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 : 2016-01-09DOI: 10.1504/IJMCDM.2015.074086
K. Lidouh, N. Doan, Y. D. Smet
Most decision problems involve the simultaneous optimisation of several conflicting criteria. Generally, the first step to solve such problems is to identify the set of alternatives and the criteria they will be evaluated on, leading to the construction of an evaluation table. Of course, there are numerous ways to build such a table and to represent it. For a problem of n alternatives and m criteria, there are n! • m! possibilities of representation. However, from a multicriteria point of view some of them can be more interesting than the others. In this article, we will make use of the PROMETHEE and GAIA methods from which the extracted information will serve to restructure such tables. In order to evaluate the properties of these PROMETHEE-based representations, an indicator will be defined that uses only ordinal information of the values contained in a given table. This measure will also serve as a fitness function for a genetic algorithm that will find good - if not the best - tables. These will allow to draw comparisons with PROMETHEE-based representations.
{"title":"PROMETHEE-compatible presentations of multicriteria evaluation tables","authors":"K. Lidouh, N. Doan, Y. D. Smet","doi":"10.1504/IJMCDM.2015.074086","DOIUrl":"https://doi.org/10.1504/IJMCDM.2015.074086","url":null,"abstract":"Most decision problems involve the simultaneous optimisation of several conflicting criteria. Generally, the first step to solve such problems is to identify the set of alternatives and the criteria they will be evaluated on, leading to the construction of an evaluation table. Of course, there are numerous ways to build such a table and to represent it. For a problem of n alternatives and m criteria, there are n! • m! possibilities of representation. However, from a multicriteria point of view some of them can be more interesting than the others. In this article, we will make use of the PROMETHEE and GAIA methods from which the extracted information will serve to restructure such tables. In order to evaluate the properties of these PROMETHEE-based representations, an indicator will be defined that uses only ordinal information of the values contained in a given table. This measure will also serve as a fitness function for a genetic algorithm that will find good - if not the best - tables. These will allow to draw comparisons with PROMETHEE-based representations.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"385-424"},"PeriodicalIF":0.0,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2015.074086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696111","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 : 2016-01-01DOI: 10.1504/IJMCDM.2016.10002230
F. Yazdandoost, A. Izadi
Multi-objective optimisation of water distribution networks (WDNs) design would be an effective step towards the proper management of these infrastructures. This in turn depends upon how well the decision maker (DM) identifies the trade-off between the objectives. Here, a three-step framework is proposed to address this challenge. Part of the WDN in Iran, has been optimised by NSGA-II based on cost and resilience index (RI) objectives. The obtained non-dominated solutions located on the Pareto front were then processed through the entropy method to quantify the weights for the objectives while considering the preferences of the DM. Finally, the TOPSIS method was used to determine the best choice. The results, compared to those proposed by the original design consultants and cost-benefit analysis (CBA), show that the current proposed framework can be used as a more reliable tool to verify WDNs cost-benefit analysis while creating a better balance between the objectives.
{"title":"A decision-making framework for designing water distribution networks based on multi-objective optimisation","authors":"F. Yazdandoost, A. Izadi","doi":"10.1504/IJMCDM.2016.10002230","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.10002230","url":null,"abstract":"Multi-objective optimisation of water distribution networks (WDNs) design would be an effective step towards the proper management of these infrastructures. This in turn depends upon how well the decision maker (DM) identifies the trade-off between the objectives. Here, a three-step framework is proposed to address this challenge. Part of the WDN in Iran, has been optimised by NSGA-II based on cost and resilience index (RI) objectives. The obtained non-dominated solutions located on the Pareto front were then processed through the entropy method to quantify the weights for the objectives while considering the preferences of the DM. Finally, the TOPSIS method was used to determine the best choice. The results, compared to those proposed by the original design consultants and cost-benefit analysis (CBA), show that the current proposed framework can be used as a more reliable tool to verify WDNs cost-benefit analysis while creating a better balance between the objectives.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"269-289"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696406","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 : 2016-01-01DOI: 10.1504/IJMCDM.2016.10002238
R. Singh, H. Nachtnebel
Nepal needs appropriate decision framework for exploring huge hydropower potential, This work primarily proposes a decision framework applicable to small hydropower schemes (1 to 25 MW) to assist in prioritisation. In the future a similar approach could be developed to prioritise hydropower projects across a broad capacity range. This paper, based on a multi-criteria approach, has the main objective to develop a decision support tool to evaluate, compare and rank alternative proposals of hydropower schemes. The proposed framework organised wide range of criteria under five goals referring to economic, social, environmental, political objectives and additionally, their inherent uncertainties. Six Nepalese pilot sites with comparable capacity were identified for testing the decision framework and Visual PROMETHEE (VP) application proved to be effective for decision making. Thus Visual PROMETHEE could be used for developing decision aid and effective in decision making or prioritising hydropower options exhibiting quite different features.
{"title":"Decision aid for hydropower project prioritisation in Nepal by applying Visual PROMETHEE","authors":"R. Singh, H. Nachtnebel","doi":"10.1504/IJMCDM.2016.10002238","DOIUrl":"https://doi.org/10.1504/IJMCDM.2016.10002238","url":null,"abstract":"Nepal needs appropriate decision framework for exploring huge hydropower potential, This work primarily proposes a decision framework applicable to small hydropower schemes (1 to 25 MW) to assist in prioritisation. In the future a similar approach could be developed to prioritise hydropower projects across a broad capacity range. This paper, based on a multi-criteria approach, has the main objective to develop a decision support tool to evaluate, compare and rank alternative proposals of hydropower schemes. The proposed framework organised wide range of criteria under five goals referring to economic, social, environmental, political objectives and additionally, their inherent uncertainties. Six Nepalese pilot sites with comparable capacity were identified for testing the decision framework and Visual PROMETHEE (VP) application proved to be effective for decision making. Thus Visual PROMETHEE could be used for developing decision aid and effective in decision making or prioritising hydropower options exhibiting quite different features.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"6 1","pages":"316-342"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66696451","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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