Pub Date : 2015-03-11DOI: 10.1504/IJMCDM.2015.067939
M. Azizi, N. Mohebbi, R. M. Gargari, M. Ziaie
Selecting the best place for a factory among some proposed locations based on various indices is a decision-making multi-criteria issue. This issue is one of the most critical steps in establishing the factory since the results of this decision will have economically, socially, environmentally and technologically significant effects in the long-run. Selecting the most appropriate provinces for establishing new manufacturing units of wooden furniture in Iran is the purpose of this study. Effective indicators in the location of the furniture industry were identified and a hierarchy was constructed based on five major groups of criteria. The weight of the indicators was then established by analytical hierarchy process. The amounts of the indicators with regard to alternatives were obtained from factories in public and private sectors. These weights were employed in TOPSIS to rank the alternatives. Finally, the potential provinces were identified according to the priorities obtained by this technique. The results indicated that Qom, Tehran and Razavi Khorasan provinces were the best priorities for establishing furniture industry plants.
{"title":"A strategic model for selecting the location of furniture factories: a case of the study of furniture","authors":"M. Azizi, N. Mohebbi, R. M. Gargari, M. Ziaie","doi":"10.1504/IJMCDM.2015.067939","DOIUrl":"https://doi.org/10.1504/IJMCDM.2015.067939","url":null,"abstract":"Selecting the best place for a factory among some proposed locations based on various indices is a decision-making multi-criteria issue. This issue is one of the most critical steps in establishing the factory since the results of this decision will have economically, socially, environmentally and technologically significant effects in the long-run. Selecting the most appropriate provinces for establishing new manufacturing units of wooden furniture in Iran is the purpose of this study. Effective indicators in the location of the furniture industry were identified and a hierarchy was constructed based on five major groups of criteria. The weight of the indicators was then established by analytical hierarchy process. The amounts of the indicators with regard to alternatives were obtained from factories in public and private sectors. These weights were employed in TOPSIS to rank the alternatives. Finally, the potential provinces were identified according to the priorities obtained by this technique. The results indicated that Qom, Tehran and Razavi Khorasan provinces were the best priorities for establishing furniture industry plants.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"87-108"},"PeriodicalIF":0.0,"publicationDate":"2015-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2015.067939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695845","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 : 2014-09-16DOI: 10.1504/IJMCDM.2014.064794
V. Kostoglou, J. Papathanasiou, O. Moschidis, Paraskevi Ladopoulou
Greek universities are currently in a transition state, as a new bill has been voted by the parliament trying to focus on lasting problems tormenting Greek higher level education; the implementation of the new law creating a strong reaction from part of the academic community. What is more, globalisation has increased competition and academia is now called upon to operate in an international environment facing other well established and prestigious institutions. It is in this context that Web 2 technologies widely available today offer a framework that allow academic institutions to increase their extraversion and reach a wider public; wikis, forums and e-learning platforms to name a few of these technologies. This paper attempts to offer a convincing answer to the ability of the Greek universities, operating in an unfavourable environment with many obstacles, to exploit what Web 2 has to offer; to also assess their readiness to integrate the new technologies and face the competition directly. The analytic hierarchy process (AHP) was used for a comparative analysis of the online presence of Greek universities, and the results can prove to be a helpful tool for website creators and academia administration in order to improve their services.
{"title":"A comparative analysis of Greek universities' presence on the World Wide Web using an analytical MCDM methodology","authors":"V. Kostoglou, J. Papathanasiou, O. Moschidis, Paraskevi Ladopoulou","doi":"10.1504/IJMCDM.2014.064794","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.064794","url":null,"abstract":"Greek universities are currently in a transition state, as a new bill has been voted by the parliament trying to focus on lasting problems tormenting Greek higher level education; the implementation of the new law creating a strong reaction from part of the academic community. What is more, globalisation has increased competition and academia is now called upon to operate in an international environment facing other well established and prestigious institutions. It is in this context that Web 2 technologies widely available today offer a framework that allow academic institutions to increase their extraversion and reach a wider public; wikis, forums and e-learning platforms to name a few of these technologies. This paper attempts to offer a convincing answer to the ability of the Greek universities, operating in an unfavourable environment with many obstacles, to exploit what Web 2 has to offer; to also assess their readiness to integrate the new technologies and face the competition directly. The analytic hierarchy process (AHP) was used for a comparative analysis of the online presence of Greek universities, and the results can prove to be a helpful tool for website creators and academia administration in order to improve their services.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"279-298"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.064794","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695606","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 : 2014-09-16DOI: 10.1504/IJMCDM.2014.064801
R. Statnikov, S. Gavriushin, M. Dang, A. Statnikov
Design of composite pressure vessels is characterised by multiple contradictory performance criteria, such as winding on the heads, dimension, volume, and weight. Statement and solution of such problems requires search for compromise solutions and consideration of multiple criteria simultaneously. Therefore, single-criterion approaches are generally not applicable. The paper presents a multicriteria methodology for search for feasible and Pareto optimal solutions for the design of composite pressure vessels. The methodology is based on the parameter space investigation (PSI) method. The PSI method is implemented in the multicriteria optimisation and vector identification (MOVI) software system. Using the above tools, this work provides a numerical example of statement and solution of the problem of multicriteria design of composite pressure vessels.
{"title":"Multicriteria design of composite pressure vessels","authors":"R. Statnikov, S. Gavriushin, M. Dang, A. Statnikov","doi":"10.1504/IJMCDM.2014.064801","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.064801","url":null,"abstract":"Design of composite pressure vessels is characterised by multiple contradictory performance criteria, such as winding on the heads, dimension, volume, and weight. Statement and solution of such problems requires search for compromise solutions and consideration of multiple criteria simultaneously. Therefore, single-criterion approaches are generally not applicable. The paper presents a multicriteria methodology for search for feasible and Pareto optimal solutions for the design of composite pressure vessels. The methodology is based on the parameter space investigation (PSI) method. The PSI method is implemented in the multicriteria optimisation and vector identification (MOVI) software system. Using the above tools, this work provides a numerical example of statement and solution of the problem of multicriteria design of composite pressure vessels.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"252-278"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.064801","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695677","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 : 2014-09-16DOI: 10.1504/IJMCDM.2014.064796
Stefan Eppe, Julien Roland, Y. D. Smet
Clustering techniques aim at eliciting hidden structures of a dataset by partitioning it into groups of similar elements. We will focus on the special case of relational clustering, where the similarity is based on relations that exist between elements rather than on their respective intrinsic features. As will be shown, particular attention has to be paid when applying a relational approach to the context of multi-criteria decision making. This paper introduces the concept of valued action profiles, a formalism for handling elements that are defined by pairwise valued outranking relations. For our experimental study, we then integrate these profiles into an adapted k-means algorithm that returns a relational partition. Results on both artificial and real datasets show that the use of the proposed method leads to meaningful relational partitions.
{"title":"On the use of valued action profiles for relational multi-criteria clustering","authors":"Stefan Eppe, Julien Roland, Y. D. Smet","doi":"10.1504/IJMCDM.2014.064796","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.064796","url":null,"abstract":"Clustering techniques aim at eliciting hidden structures of a dataset by partitioning it into groups of similar elements. We will focus on the special case of relational clustering, where the similarity is based on relations that exist between elements rather than on their respective intrinsic features. As will be shown, particular attention has to be paid when applying a relational approach to the context of multi-criteria decision making. This paper introduces the concept of valued action profiles, a formalism for handling elements that are defined by pairwise valued outranking relations. For our experimental study, we then integrate these profiles into an adapted k-means algorithm that returns a relational partition. Results on both artificial and real datasets show that the use of the proposed method leads to meaningful relational partitions.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"201-233"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.064796","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695662","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 : 2014-09-16DOI: 10.1504/IJMCDM.2014.064795
P. Mitropoulos, Nikolaos Mastrogiannis, I. Mitropoulos
This study investigates efficiency and quality of care in primary healthcare centres. At first, we performed cluster analysis to group health centres by their level of quality based on user's experiences that were collected from a satisfaction survey over a representative sample of patients. Secondly, a DEA analysis was conducted by generating bootstrapped efficiency scores for each health centre, and then we regressed these scores on variables that represent clusters from certain dimensions of patient satisfaction. The results of this study indicate statistically significant relations of health centres' efficiency with several dimensions of patient satisfaction. More specifically we identified direct relations of efficiency with accessibility, lab services and facilities. On the other hand there exist inverse relationships of the health centres efficiency with patients' opinions regarding scheduling appointment and doctor services.
{"title":"Seeking interactions between patient satisfaction and efficiency in primary healthcare: cluster and DEA analysis","authors":"P. Mitropoulos, Nikolaos Mastrogiannis, I. Mitropoulos","doi":"10.1504/IJMCDM.2014.064795","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.064795","url":null,"abstract":"This study investigates efficiency and quality of care in primary healthcare centres. At first, we performed cluster analysis to group health centres by their level of quality based on user's experiences that were collected from a satisfaction survey over a representative sample of patients. Secondly, a DEA analysis was conducted by generating bootstrapped efficiency scores for each health centre, and then we regressed these scores on variables that represent clusters from certain dimensions of patient satisfaction. The results of this study indicate statistically significant relations of health centres' efficiency with several dimensions of patient satisfaction. More specifically we identified direct relations of efficiency with accessibility, lab services and facilities. On the other hand there exist inverse relationships of the health centres efficiency with patients' opinions regarding scheduling appointment and doctor services.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"234-251"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.064795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695621","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 : 2014-04-15DOI: 10.1504/IJMCDM.2014.060423
G. Kabir
Meditating entities such as consultants can play an important role in successful total quality management (TQM) programme implementation and helps the organisations to attain competitive advantage. In general, many factors affect the appropriate consultant selection problem which adheres to uncertain and imprecise data, and usually several people from different functional areas of the company are involved in this process. In this paper, an improved and more effective TQM consultant selection model has been developed through integrating VIKOR method with fuzzy set theory. Linguistic ratings are expressed in trapezoidal fuzzy numbers to assess the ratings and weights for these factors. A numerical example is proposed to illustrate an application of the proposed model.
{"title":"Consultant selection for quality management using VIKOR method under fuzzy environment","authors":"G. Kabir","doi":"10.1504/IJMCDM.2014.060423","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.060423","url":null,"abstract":"Meditating entities such as consultants can play an important role in successful total quality management (TQM) programme implementation and helps the organisations to attain competitive advantage. In general, many factors affect the appropriate consultant selection problem which adheres to uncertain and imprecise data, and usually several people from different functional areas of the company are involved in this process. In this paper, an improved and more effective TQM consultant selection model has been developed through integrating VIKOR method with fuzzy set theory. Linguistic ratings are expressed in trapezoidal fuzzy numbers to assess the ratings and weights for these factors. A numerical example is proposed to illustrate an application of the proposed model.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"96-113"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060423","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695934","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 : 2014-04-15DOI: 10.1504/IJMCDM.2014.060425
K. Gibert
Understanding the meaning of the classes outcomming from a clustering method is one of the critical aspects to guarantee both the validity of the clustering results and their usefulness. The methodology of conceptual characterisation by embedded conditioning (CCEC), is a proposal for building conceptual interpretations of hierarchical clustering that contributes to enshort the gap between the clustering itself and the further decision-making processes. The methodology uses some statistical tools (as the boxplot multiple, introduced by Tukey) together with some machine learning methods, to learn the structure of the data; and find the characterising variables (previously introduced by Gibert) of the classes when they exist, whereas providing alternatives when they do not exist. In this paper, the pillars of the methodology are presented, as well as different criteria for knowledge integration. The usefulness of CCEC for building domain theories as models supporting later decision-making is addressed. The proposal is applied for building the interpretation of a set of classes extracted from a waste water treatment plant (WWTP) and the results obtained with the different criteria are compared and discussed.
{"title":"Automatic generation of classes-interpretation as a bridge between clustering and decision-making","authors":"K. Gibert","doi":"10.1504/IJMCDM.2014.060425","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.060425","url":null,"abstract":"Understanding the meaning of the classes outcomming from a clustering method is one of the critical aspects to guarantee both the validity of the clustering results and their usefulness. The methodology of conceptual characterisation by embedded conditioning (CCEC), is a proposal for building conceptual interpretations of hierarchical clustering that contributes to enshort the gap between the clustering itself and the further decision-making processes. The methodology uses some statistical tools (as the boxplot multiple, introduced by Tukey) together with some machine learning methods, to learn the structure of the data; and find the characterising variables (previously introduced by Gibert) of the classes when they exist, whereas providing alternatives when they do not exist. In this paper, the pillars of the methodology are presented, as well as different criteria for knowledge integration. The usefulness of CCEC for building domain theories as models supporting later decision-making is addressed. The proposal is applied for building the interpretation of a set of classes extracted from a waste water treatment plant (WWTP) and the results obtained with the different criteria are compared and discussed.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"154-182"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060425","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695493","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 : 2014-04-15DOI: 10.1504/IJMCDM.2014.060427
Hajer Baazaoui, Mohamed Ramzi Haddad, H. Ghézala
Search personalisation is a multi-criteria decision problem whose objective is to filter out relevant information based on a set of criteria. Web personalisation can be seen as an interdisciplinary field whose objective is to facilitate the interaction between web content and users’ needs. The personalised search focuses on integrating users’ contexts, needs and relevancy criteria in the information retrieval process. This paper presents user’s modelling for personalised spatial and semantic information retrieval. The idea is to provide a user with personalised results based on his model and on the neighbour users’ models. The spatial personalisation search is based on a measure of spatial accessibility, whose objective is to predict and evaluate location relevancy, accessibility as well as associations at the user level. Experiments confirm the effectiveness of our proposal by pointing out the improvement of the personalised search results when compared to a baseline web search.
{"title":"A personalised semantic and spatial information retrieval system based on user’s modelling and accessibility measure","authors":"Hajer Baazaoui, Mohamed Ramzi Haddad, H. Ghézala","doi":"10.1504/IJMCDM.2014.060427","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.060427","url":null,"abstract":"Search personalisation is a multi-criteria decision problem whose objective is to filter out relevant information based on a set of criteria. Web personalisation can be seen as an interdisciplinary field whose objective is to facilitate the interaction between web content and users’ needs. The personalised search focuses on integrating users’ contexts, needs and relevancy criteria in the information retrieval process. This paper presents user’s modelling for personalised spatial and semantic information retrieval. The idea is to provide a user with personalised results based on his model and on the neighbour users’ models. The spatial personalisation search is based on a measure of spatial accessibility, whose objective is to predict and evaluate location relevancy, accessibility as well as associations at the user level. Experiments confirm the effectiveness of our proposal by pointing out the improvement of the personalised search results when compared to a baseline web search.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"183-200"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695548","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 : 2014-04-15DOI: 10.1504/IJMCDM.2014.060424
M. Norese, Chiara Novello
Acquiring and organising knowledge and information elements are essential activities in the innovation processes, not only to understand, but also to eliminate, or at least reduce and control technological and organisational complexities and uncertainties. An integration of tools from different disciplines could systematically help in the construction of an agreed framework for problem structuring, above all when the situation is 'new'. An application was developed in relation to an industrial project, in order to reduce uncertainty on the market that has to accept the innovation. The knowledge elements that were acquired in the project were analysed with an integrated use of cognitive mapping and actor network representation, in order to understand the whole situation and structure the problem. The results of this action were used to identify and formally develop technological, organisational and economic constraints and criteria starting from the end users' vision on the acceptability of all the possible innovations. Based on a multiple criteria clustering approach, profiles of the potential users of this innovative system and of their requirements were identified and proposed, in order to formally develop models that can orient analysis, decision and action.
{"title":"Understanding and profiling user requirements to support the conceptual design in the aeronautical sector","authors":"M. Norese, Chiara Novello","doi":"10.1504/IJMCDM.2014.060424","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.060424","url":null,"abstract":"Acquiring and organising knowledge and information elements are essential activities in the innovation processes, not only to understand, but also to eliminate, or at least reduce and control technological and organisational complexities and uncertainties. An integration of tools from different disciplines could systematically help in the construction of an agreed framework for problem structuring, above all when the situation is 'new'. An application was developed in relation to an industrial project, in order to reduce uncertainty on the market that has to accept the innovation. The knowledge elements that were acquired in the project were analysed with an integrated use of cognitive mapping and actor network representation, in order to understand the whole situation and structure the problem. The results of this action were used to identify and formally develop technological, organisational and economic constraints and criteria starting from the end users' vision on the acceptability of all the possible innovations. Based on a multiple criteria clustering approach, profiles of the potential users of this innovative system and of their requirements were identified and proposed, in order to formally develop models that can orient analysis, decision and action.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"135-153"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695480","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 : 2014-04-15DOI: 10.1504/IJMCDM.2014.060426
A. Lehikoinen, I. Helle, E. Klemola, S. Mäntyniemi, S. Kuikka, H. Pitkänen
Environmental managers must make decisions about complex problems that have a high degree of uncertainty such as, which nutrient abatement measure optimally improves the condition of an ecosystem. Although data and models that provide information on this subject exist, their knowledge may be fragmentary and difficult to interpret. We present a user-friendly modelling tool that integrates results of different models and data-analyses. It can be used by decision-makers for assessing the probabilities of different nutrient abatement scenarios for achieving specific targets set by the Water Framework Directive for Finnish coastal waters in the Gulf of Finland. The results suggest that significant reductions in nutrient loads are required to achieve good ecological status in Finnish coastal waters, and in the event of increased precipitation these targets may be less likely to be attained. Moreover, different approaches to the status classification lead to very different conclusions.
{"title":"Evaluating the impact of nutrient abatement measures on the ecological status of coastal waters: a Bayesian network for decision analysis","authors":"A. Lehikoinen, I. Helle, E. Klemola, S. Mäntyniemi, S. Kuikka, H. Pitkänen","doi":"10.1504/IJMCDM.2014.060426","DOIUrl":"https://doi.org/10.1504/IJMCDM.2014.060426","url":null,"abstract":"Environmental managers must make decisions about complex problems that have a high degree of uncertainty such as, which nutrient abatement measure optimally improves the condition of an ecosystem. Although data and models that provide information on this subject exist, their knowledge may be fragmentary and difficult to interpret. We present a user-friendly modelling tool that integrates results of different models and data-analyses. It can be used by decision-makers for assessing the probabilities of different nutrient abatement scenarios for achieving specific targets set by the Water Framework Directive for Finnish coastal waters in the Gulf of Finland. The results suggest that significant reductions in nutrient loads are required to achieve good ecological status in Finnish coastal waters, and in the event of increased precipitation these targets may be less likely to be attained. Moreover, different approaches to the status classification lead to very different conclusions.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"114-134"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060426","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66695539","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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