Development of the location suitability index for wave energy production by ANN and MCDM techniques

Ghosh, Soumya K.; Chakraborty, Tilottama; Saha, Satyabrata; Majumder, Mrinmoy; Pal, Manish

doi:10.1016/j.rser.2015.12.275

Cited by 83 publications

(53 citation statements)

References 32 publications

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“…(3) Last, this period has been the most remarkable wherein 6 papers are identified [81,109,170,181,203,214]. Firstly, Maté et al [181] explored the opportunities to adopt more intelligent ways of managing existing RES.…”

Section: Results and In-depth Analysismentioning

confidence: 99%

“…Moreover, the proposed methodology has been applied to the decision-making process for marine renewable energy site selection. Ghosh et al [203] developed an integrated decision-making method that combines ANN and MCDM techniques to predict an index that directly represents the suitability of locations for wave energy generation. Greco et al [214] suggested to integrate the open innovation paradigm (OIP) in the energy sector to take advantage of external knowledge.…”

Section: Results and In-depth Analysismentioning

confidence: 99%

“…Considering all the above "quality indexes" and examining the results of the review, only nine papers [49,109,167,170,181,192,203,206,215] were deemed appropriate (where the authors differently addressed some EPDM problems that have been classically or not solved at all by the community), despite one of them are more energy management oriented solution [181] and none of them exactly satisfies all (or at least 50%) the above requirements.…”

Section: Results and In-depth Analysismentioning

confidence: 99%

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Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

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Achieving sustainable energy planning and development involves complex decision-making processes. The energy planning decision-making (EPDM) field relies on a plethora of decision analysis methods that offered many solutions to process a variety of energy management and strategic decision-making problems. However, current EPDM solutions are unable to overcome the increasing complexity of strategic energy planning situations involving a large number of stakeholders in uncertain, dynamic, and distributed environments. This raises significant new challenges for researchers in both decision sciences and renewable and sustainable energy planning. On the basis of a representative assortment of peer-reviewed related literature selected by querying multiple electronic databases and indexed in Scopus and Web of Science databases domain journals over the last 12 years, this paper exhaustively highlights and discusses limitations of existing strategic EPDM solutions. The analysis is based on a classification specially developed by holistically harmonizing important domain concepts to categorize the considered representative sample of the field of interest. Additionally, this paper integrates results and conclusions from some recent and most cited literature reviews to (i) formulate essential evidence as well as practical and conclusive literature's supportalongside with the formulated representative sample -to this paper's subsequent insights and statements, and (ii) guarantee that no relevant articles have been excluded. A total of 78 related works is gathered and analyzed to provide a general view and discussion on major complexities found in classical/traditional strategic EPDM solutions and challenges for next-generation EPDM solutions. Moreover, a comparative analysis of the two solutions and a set of "quality indexes" of a next-generation EPDM solution were identified and some proposals were made to improve future applicative research. As an original result coming from the "quality indexes" identified through the review process, an intelligent expert-based framework for next-generation EPDM solutions is developed for enhanced renewable and sustainable energy planning.

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Section: Results and In-depth Analysismentioning

confidence: 99%

Section: Results and In-depth Analysismentioning

confidence: 99%

Section: Results and In-depth Analysismentioning

confidence: 99%

See 1 more Smart Citation

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…Suppose there is a MCDM problem [19,[48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64]; the set of alternatives were represented as = ( 1 , 2 , . .…”

Section: The Classical Todim Methodmentioning

confidence: 99%

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

He¹,

Wu²

2017

Mathematical Problems in Engineering

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Sustainable development evaluation is the basis of city sustainable development research, and effective evaluation is the foundation for guiding the formulation and implementation of sustainable development strategy. In this paper, we provided a new city sustainable development evaluation method called hesitant multiplicative fuzzy TODIM (HMF-TODIM). The main advantage of this method is that it can deal with the subjective preference information of the decision-makers. The comparison study of existing methods and HMF-TODIM is also carried out. Additionally, real case analysis is presented to show the validity and superiority of the proposed method. Research results in this paper can provide useful information for the construction of sustainable cities.

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“…Under the pluralistic and complicated social environment, the theories of MCDM have been rapidly developed and widely applied in various fields of engineering project [1][2][3][4], military affair [5][6][7], management [8][9][10][11] and so on. Considering the large application foreground of MCDM, many decision making methods have been proposed to deal with the MCDM problems, like TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) [12], ELECTRE (Elimination and Choice Expressing REality) [13], VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in serbian, meaning multi-criteria optimization and compromise solution) [14], TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) [15], COPRAS (Complex Proportional Assessment) [16], etc.…”

Section: Introductionmentioning

confidence: 99%

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

Ren

Zhang

Liao

et al. 2017

Information Sciences

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Thermodynamics is of knowledge structure to depict the stability (or instability) of a system effectively. For the increasing complexity of the application problems and the fuzzy nature of human thought, intuitionistic fuzzy sets were proposed and have become a powerful tool to portray the uncertainty of things. In order to best utilize decision information to solve the multi-criteria decision making (MCDM) problems in an intuitionistic fuzzy environment, the paper proposes a thermodynamic method for MCDM with intuitionistic fuzzy numbers (IFNs), which not only utilizes the quantity of the decision information to make decision, but also concerns the quality of the decision information in the decision making process. Then, we conduct simulations to compare the decision making results derived by the proposed method and other two commonly used decision making methods -Weighted averaging operator (WAO) and TOPSIS in the intuitionistic fuzzy environment. Further, the thermodynamic method for MCDM with IFNs is applied to assist the hierarchical medical system in West China Hospital as a case study.* Corresponding author. E-mail addresses: renpeijia@outlook.com, xuzeshui@263.net, liaohuchang@163.com, x.zeng@manchester.ac.uk. 2The empirical results derived from the simulations and applications show: (1) If the optimal selections obtained from the proposed method and one of the two commonly used methods are same, then it is likely that the three decision making methods would obtain same results; (2) If the optimal selections by the three method are different, then it is often the cases where the selection by the proposed method is different from the two other methods whereas the selections by the two other methods are the same. The reason behind is the unique feature of the proposed method in which the quality of the decision making information is taken into consideration. These empirical studies demonstrate that the quality of the decision making information has significant impacts on the decision making results, which indicates that the proposed method is effective to be utilized in practical decision making problems.

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Development of the location suitability index for wave energy production by ANN and MCDM techniques

Cited by 83 publications

References 32 publications

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

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