Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources

Sellak, Hamza; Ouhbi, Brahim; Frikh, Bouchra

doi:10.4114/intartif.vol20iss59pp21-31

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…In previous studies [46][47][48][49][50][51][52][53][54][55][56][57], evidential reasoning is used and it is proved to be a robust tool when dealing with uncertain and vagueness data in decision-making. However, the main shortage is that the final decision is obtained by calculated interval numbers instead of crisp values when only this method is engaged.…”

Section: Discussionmentioning

confidence: 99%

“…. Furthermore, using abovementioned algorithms the degree of belief of alternative to the rating can be calculated as follows [57]: For { } there is:…”

Section: The Evidential Reasoningmentioning

confidence: 99%

“…What kind of evaluation ratings should be used depends on the requirement from the observed problem. The most preferred and used assessment ratings in the literature are: worst (W), poor (P), average (A), good (G), and excellent (E), [57] for the simplicity. Hereby, the same evaluation ratings are applied for all criteria.…”

Section: Qualitative (1-5) Maxmentioning

confidence: 99%

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A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

2021

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One of the important segments of pedestrian infrastructure are pedestrian bridges. The importance is greater if these bridges are of historical and cultural significance to the city or region. To manage these bridges, it is important to develop an approach that can enable systematic and organized decision-making for experts and policy makers. Hereby, a recovery of bridges is analyzed for the priority ranking of historic pedestrian bridges. Maps of Europe from XIX. Century for the area of Split-Dalmatia County (SDC) are used to locate the bridges. A total of nine bridges are identified, and a set of relevant criteria are defined to evaluate these bridges. The Analytic Hierarchy Process (AHP) is used for the comparison of criteria, evidential reasoning for the assessment of bridges according to each criterion, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is conducted for priority ranking of bridges for the recovery planning. To achieve the final order of bridges it was crucial to take into account mechanical, dynamical, ecological, financial, and, also, social characteristics of these bridges, which was not an easy task. For this reason, the authors proposed a model of decision support to help policy and decision makers in the managing of recovery activities of historic road bridges. The model was conducted on the bridges in the area of SDC, built until the end of the Austro-Hungarian Monarchy.

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Section: Discussionmentioning

confidence: 99%

“…. Furthermore, using abovementioned algorithms the degree of belief of alternative to the rating can be calculated as follows [57]: For { } there is:…”

Section: The Evidential Reasoningmentioning

confidence: 99%

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A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

2021

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“…The ER approach is one MCDA technique that has been applied to many areas of performance assessment and decision making, such as the self-assessment following [19], the assessment of new product design [20], the assessment based upon the balanced scorecard [21], the evaluation and selection of research projects [22], and the prioritisation of energy sources [23].…”

Section: The Evidential Reasoning Approachmentioning

confidence: 99%

Environmental performance assessment using the evidential reasoning approach: The case of logistics service providers

Sureeyatanapas

Tawwan

2018

MATEC Web Conf.

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The demand for environmental performance assessment is increasing among business practitioners, and it has nowadays become one of the key factors for a company’s self-improvement as well as for selecting suppliers and logistics providers. The assessment is, in essence, a multiple criteria decision analysis (MCDA) problem comprised of many quantitative and qualitative criteria. Frequently, the assessment data of some criterion is inevitably imprecise and/or incomplete since the nature of environmental assessment relies heavily on professional and complex methods which might not be fully available for every company. Also, qualitative criteria can only be assessed based upon human judgment. This paper, therefore, proposes an application of the evidential reasoning (ER) approach to the assessment of environmental performance for logistics service providers. The lists of criteria and indicators are adapted from ISO 14031. The ER approach is able to logically aggregate all assessment information, although different forms of data (precise or imprecise; complete or incomplete) are obtained. For this paper, assessment data from two logistics companies were gathered and analysed to illustrate the implementation process. The results are in the form of aggregated belief distributions on a unified set of evaluation grades, and the company can use this information for performance improvement and benchmarking.

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“…Energy sustainability is a long-term view of natural resource constraints [3]. Renewable, clean, and efficient energy, such as wind and geothermal power, solar energy, hydropower, and biomass, constitute fundamental determinants of future sustainability [4].…”

Section: Introductionmentioning

confidence: 99%

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

et al. 2020

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The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields constitute the main focus of researchers. We demonstrate the substantial importance of fuzzy-related methods and decision-making techniques such as the Analytical Hierarchy Process and Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS). We also show that subjects such as renewable energy, energy planning, sustainable energy, energy policy, and wind energy have gained relevance among researchers in recent years.

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Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources

Cited by 4 publications

References 10 publications

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

Environmental performance assessment using the evidential reasoning approach: The case of logistics service providers

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

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