Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia
TL;DR: A sensitivity analysis indicates that the model is useful for identifying suitable locations for the development of wind farm projects, as well as for assessing the suitability of already licensed projects for the construction of wind farms.
About: This article is published in Renewable Energy.The article was published on 2017-04-01. It has received 251 citations till now. The article focuses on the topics: Wind power & Geographic information system.
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TL;DR: It is shown that by integrating the rough approach with the traditional fuzzy approach, the subjectivity that exists when defining the borders of fuzzy sets is eliminated.
Abstract: This paper presents a new approach for the treatment of uncertainty which is based on interval-valued fuzzy-rough numbers (IVFRN). It is shown that by integrating the rough approach with the traditional fuzzy approach, the subjectivity that exists when defining the borders of fuzzy sets is eliminated. IVFRN make decision making possible using only the internal knowledge in the operative data available to the decision makers. In this way objective uncertainties are used and there is no need to rely on models of assumptions. Instead of different external parameters in the application of IVFRN, the structure of the given data is used. On this basis an original multi-criteria model was developed based on an IVFRN approach. In this multi-criteria model the traditional steps of the BWM (Best–Worst method) and MABAC (Multi-Attributive Border Approximation area Comparison) methods are modified. The model was tested and validated on a study of the optimal selection of fire fighting helicopters. Testing demonstrated that the model based on IVFRN enabled more objective expert evaluation of the criteria in comparison with traditional fuzzy and rough approaches. A sensitivity analysis of the IVFRN BWM-MABAC model was carried out by means of 57 scenarios, the results of which showed a high degree of stability. The results of the IVFRN model were validated by comparing them with the results of the fuzzy and rough extension of the MABAC, COPRAS and VIKOR models.
243 citations
Cites background or methods from "Application of the GIS-DANP-MABAC m..."
...Further integration of the interval-valued fuzzy-rough approach in traditional MCDM models would allow the exploitation of the ambiguities and subjectivity that exist in the process of decision making....
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...To discuss the results, they were presented using three MCDM methods: MABAC, VIKOR and COPRAS....
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...The development and application of tools that adequately take into account uncertainties (fuzzy, rough, grey approach etc.) is an important area of MCDM. Decision makers are required to make objective and impartial decisions that take uncertainties into account....
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...It has to date found wide application and modifications with the aim of solving numerous problems in the area of multi-criteria decision making (Božaniš et al, 2016; Yu et al., 2016; Xue et al., 2016; Peng and Dai, 2016; Peng and Yang, 2016; Roy et al., 2016; Gigoviš et al., 2017)....
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...Correlation of the ranks in the models MCDM models IVFRNMABAC Fuzzy- MABAC Rough- MABAC IVFRNVIKOR Fuzzy - VIKOR Rough - VIKOR IVFRN- COPRAS Fuzzy - COPRAS Rough - COPRAS IVFRNMABAC 1.00 0.94 0.94 0.94 0.94 1.00 0.83 0.94 0.97 FuzzyMABAC - 1.00 0.89 0.89 1.00 0.94 0.77 0.89 0.91 RoughMABAC - - 1.00 1.00 0.89 0.94 0.94 1.00 0.91 IVFRNVIKOR - - - 1.00 0.89 0.94 0.94 1.00 0.91 FuzzyVIKOR - - - - 1.00 0.94 0.77 0.89 0.91 RoughVIKOR - - - - - 1.00 0.83 0.94 0.97 IVFRNCOPRAS - - - - - - 1.00 0.94 0.74 FuzzyCOPRAS - - - - - - - 1.00 0.91 RoughCOPRAS - - - - - - - - 1.00 The SCC values from Table 14 show a high correlation between the ranks among the MCDM methods examined....
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TL;DR: In this paper, an interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) is employed to understand the hierarchal and contextual relationship structure among the barriers of e-waste management.
198 citations
TL;DR: In this paper, the authors presented a reliable GIS multi-criteria methodology for hazard zones' mapping of flood-prone areas in urban areas based on the combined application of geographical information systems (GIS) and multicriteria decision analysis (MCDA).
Abstract: Floods are natural disasters with significant socio-economic consequences Urban areas with uncontrolled urban development, rapid population growth, an unregulated municipal system and an unplanned change of land use belong to the highly sensitive areas where floods cause devastating economic and social losses The aim of this paper is to present a reliable GIS multi-criteria methodology for hazard zones’ mapping of flood-prone areas in urban areas The proposed methodology is based on the combined application of geographical information systems (GIS) and multi-criteria decision analysis (MCDA) The methodology considers six factors that are relevant to the hazard of flooding in urban areas: the height, slope, distance to the sewage network, the distance from the water surface, the water table and land use The expert evaluation takes into account the nature and severity of observed criteria, and it is tested using three scenarios: the modalities of the analytic hierarchy process (AHP) The first of them uses a new approach to the exploitation of uncertainty in the application of the AHP technique, the interval rough numbers (IR’AHP) The second one uses the fuzzy technique for the exploitation of uncertainty with the AHP method (F’AHP), and the third scenario contemplates the use of the traditional (crisp) AHP method The proposed methodology is demonstrated in Palilula Municipality, Belgrade, Serbia In the last few decades, Palilula Municipality has been repeatedly devastated by extreme flood events These floods severely affected the transportation networks and other infrastructure Historical flood inundation data have been used in the validation process The final urban flood hazard map proves a satisfactory agreement between the flood hazard zones and the spatial distribution of historical floods that happened in the last 58 years The results indicate that the scenario in which the IR’AHP methodology is used provides the highest level of compatibility with historical data on floods The produced map showed that the areas of very high flood hazard are located on the left Danube River bank These areas are characterized by lowland morphology, gentle slope, sewage network, expansion of impermeable locations and intense urbanization The proposed GIS-IR’AHP methodology and the results of this study provide a good basis for developing a system of flood hazard management in urban areas and can be successfully used for spatial city development policy
187 citations
TL;DR: The five site selection stages, criteria selection, data normalization, criteria weighting, alternative evaluation and result validation, are revealed by content analysis and it is found that different energy sources emphasize different criteria; however, some similarities exist.
173 citations
TL;DR: The paper examines GSCM based on fifteen criteria expressed in five dimensions and proposes a multi-criteria evaluation framework for selecting suitable green suppliers and shows that the proposed method significantly increases the objectivity of supplier assessment in a subjective environment.
168 citations
References
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Book•
01 Jan 1996
TL;DR: The Analytic Network Process is particularly useful to project the future of a group or company considering all the influences and risks: economic, social, political, technological, environmental, and others.
Abstract: Decision Making with Dependence and Feedback: The Analytic Network Process : the Organization and Prioritization of Complexity #370 pages #2001 #Thomas L. Saaty #Rws Publications, 2001 #0962031798, 9780962031793 #This book shows how to make decisions when alternatives depend on criteria, but also the criteria depend on the alternatives. It shows how to cope with dependence between different groups of people, goals and criteria. The Analytic Network Process is particularly useful to project the future of a group or company considering all the influences and risks: economic, social, political, technological, environmental, and others. Accompanying ANP software is under development. file download xaxotav.pdf
3,095 citations
TL;DR: In this paper, a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstove and by hydrogen, which provides an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources.
Abstract: Renewable technologies are considered as clean sources of energy and optimal use of these resources minimize environmental impacts, produce minimum secondary wastes and are sustainable based on current and future economic and social societal needs. Sun is the source of all energies. The primary forms of solar energy are heat and light. Sunlight and heat are transformed and absorbed by the environment in a multitude of ways. Some of these transformations result in renewable energy flows such as biomass and wind energy. Renewable energy technologies provide an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources. In this article a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstoves and by hydrogen.
2,584 citations
Book•
05 Apr 1999
TL;DR: This book discusses Geographical Data, Information, and Decision Making, and Multicriteria Decision Analysis, as well as Spatial Decision Support Systems, which addresses the role of spatial data and information in decision making.
Abstract: PRELIMINARIES. Geographical Data, Information, and Decision Making. Introduction to GIS. Introduction to Multicriteria Decision Analysis. SPATIAL MULTICRITERIA DECISION ANALYSIS. Evaluation Criteria. Decision Alternatives and Constraints. Criterion Weighing. Decision Rules. Sensitivity Analysis. MULTICRITERIA-SPATIAL DECISION SUPPORT SYSTEMS. Spatial Decision Support Systems. MC-SDSS: Case Studies. Glossary. Selected Bibliography. Indexes.
2,342 citations
TL;DR: The GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches are surveyed using a literature review and classification of articles from 1990 to 2004 and taxonomy of those articles is provided.
Abstract: The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so This paper surveys the GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches using a literature review and classification of articles from 1990 to 2004 An electronic search indicated that over 300 articles appeared in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA
1,694 citations
TL;DR: Empirical experimental results show the proposed new novel hybrid MCDM model is capable of producing effective evaluation of e-learning programs with adequate criteria that fit with respondent's perception patterns, especially when the evaluation criteria are numerous and intertwined.
Abstract: Internet evolution has affected all industrial and commercial activity and accelerated e-learning growth. Due to cost, time, or flexibility for designer courses and learners, e-learning has been adopted by corporations as an alternative training method. E-learning effectiveness evaluation is vital, and evaluation criteria are diverse. A large effort has been made regarding e-learning effectiveness evaluation; however, a generalized quantitative evaluation model, which considers both the interaffected relation between criteria and the fuzziness of subjective perception concurrently, is lacking. In this paper, the proposed new novel hybrid MCDM model addresses the independent relations of evaluation criteria with the aid of factor analysis and the dependent relations of evaluation criteria with the aid of DEMATEL. The AHP and the fuzzy integral methods are used for synthetic utility in accordance with subjective perception environment. Empirical experimental results show the proposed model is capable of producing effective evaluation of e-learning programs with adequate criteria that fit with respondent's perception patterns, especially when the evaluation criteria are numerous and intertwined.
1,085 citations