Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China

Wu, Yunna; Xu, Chuanbo; Zhang, Ting

doi:10.1016/j.energy.2018.01.115

Cited by 231 publications

(87 citation statements)

References 45 publications

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“…In a comprehensive assessment system, both quantitative and qualitative criteria may be involved in, where the data of the qualitative criteria are contributed by experts’ descriptions, while that of the quantitative ones might be collected from related literature, or calculated by specific simulations/software. Usually, the real‐world decision‐making issues would be composited by different types of data, that is, using the crisp values or interval numbers to represent the data of the quantitative criteria and employing the linguistic terms corresponding to scales or fuzzy numbers to measure the data of the qualitative ones; meanwhile, the aleatory uncertainty (such as variations or randomness) in quantitative data and the epistemic uncertainty (such as lack of knowledge/information on parameterization) in qualitative data should also be considered . Since both the crisp and interval values can be converted into the triangular fuzzy numbers as given in Equation , while any TFN could also be defuzzified into the crisp number as shown in Equation , the TFN was used in this study to deal with the hybrid information according to the suggestions in the MADM‐based works, and the numerical properties and operational laws of the triangular fuzzy numbers are offered in the Supporting Information .

({, \begin{matrix} a false\to \overset{a}{true} = ()(, a^{l}, a^{m}, a^{u}) = ()(, a, a, a) ()(, normalfor normalcrisp normalnumber) \\ (][, \underset{}{a}, \overset{a}{true}) false\to \overset{a}{true} = ()(, a^{l}, a^{m}, a^{u}) = ()(, \underset{}{a}, ()(, \underset{}{a} + \overset{a}{true}) false/ 2, \overset{a}{true}) ()(, normalfor normalinterval normalnumbers) \end{matrix})

a = Defuzzified(\overset{false~}{a}) = (a^{l} + 4 a^{m} + a^{u}) / 6

…”

Section: Mathematical Frameworkmentioning

confidence: 99%

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

Dong

2020

Energy Science & Engineering

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The comprehensive evaluation of ammonia production systems is of great significance for improving the sustainability of energy management and food supply. Therefore, an important contribution could be provided by developing a generic decision-making framework for prioritizing multiple ammonia production systems and identifying the best one. In this view, this paper aims to propose an integrated fuzzy MADM (multiattribute decision making) framework combining fuzzy BWM (best-worst method), fuzzy CRITIC (Criteria Importance Through Intercriteria Correlation), and fuzzy GRP (gray relational projection) approaches for the sustainability assessment of ammonia production systems under hybrid information. Comparing with the previous MADM-based frameworks for sustainability assessment, this framework adopts the TFN (triangular fuzzy number) to deal with the hybrid information (ie, crisp numbers, interval values, and fuzzy numbers) that arise from real-world decision-making issues. Accordingly, the weights of criteria can be comprehensively determined by integrating the fuzzy BWM and fuzzy CRITIC, which balance experts' subjective preferences and system's objective properties under uncertainties in the determination of the weights, while the sequence of alternatives can be reliably prioritized by extending the GRP into fuzzy conditions, which escalates the ranking capability under hybrid information via considering the relationships and relative balance among the alternatives' performances regarding the multicriteria. Seven alternative systems were studied by the proposed framework, indicating that ammonia generated from hydropower-electrolysis and coal gasification would be more preferable than the others, by considering 12 criteria from the concerns of technological, environmental, economic, and social-political. Additionally, sensitivity analysis and result comparison were conducted to verify the rationality and feasibility of the framework. This work makes a methodological contribution to the MADM-based sustainability research and serves as a reference for developing the ammonia economy in the future. K E Y W O R D Sammonia production system, combined weights, fuzzy best-worst method, fuzzy gray relational projection, hybrid information, sustainability assessment

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({, \begin{matrix} a false\to \overset{a}{true} = ()(, a^{l}, a^{m}, a^{u}) = ()(, a, a, a) ()(, normalfor normalcrisp normalnumber) \\ (][, \underset{}{a}, \overset{a}{true}) false\to \overset{a}{true} = ()(, a^{l}, a^{m}, a^{u}) = ()(, \underset{}{a}, ()(, \underset{}{a} + \overset{a}{true}) false/ 2, \overset{a}{true}) ()(, normalfor normalinterval normalnumbers) \end{matrix})

a = Defuzzified(\overset{false~}{a}) = (a^{l} + 4 a^{m} + a^{u}) / 6

…”

Section: Mathematical Frameworkmentioning

confidence: 99%

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

Dong

2020

Energy Science & Engineering

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“…Step 4: Decision-making based on prospect theory When the prospect theory is applied, the reference point becomes a crucial factor in decision-making. In this condition, the reference points are generally chosen from the following key points: zero-point; mean value; maximum value and minimum value [51]. Let S = S 1 , S 2 , .…”

Section: The Computational Step Of the Fuzzy Mcdm Model Based On Prosmentioning

confidence: 99%

“…Step 4.1: Determine the positive ideal solution (PIS) and the negative ideal solution (NIS) of all alternatives under each criterion are set as [51]…”

Section: The Computational Step Of the Fuzzy Mcdm Model Based On Prosmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

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“…General research of these parameters can ensure optimal research results.Experimental research with various fuels and different engine tuning parameters yields a multi-criteria problem which can be solved applying multicriteria decision-making methods (MCDM) methods. The MCDM analysis is often used to address multiple technical issues, for example, for the assessment and selection of renewable energy technologies [44][45][46][47], development of biomass technologies [48], ecological building assessment [49], reduction potential [50], to evaluate various failure modes more precisely [51], etc. Using the step-wise weight assessment ratio analysis (SWARA) method, the evaluation factors affecting electronic learning [52] logistics [53,54], employee selection [55], and logistic provider selection [56] were analyzed.…”

mentioning

confidence: 99%

Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods

et al. 2019

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The investigation for new innovative solutions to reduce transport pollution is a priority for the European Union (EU). This study includes energy and a sustainable environment, as well as transport, logistics, and information and communication technologies. Energy ecological parameters of internal combustion depend on many factors: fuel, the fuel injection time, engine torque, etc. The engine’s energy ecological parameters were studied by changing engine torques, using different fuels, and changing the start of the fuel injection time. The selection of the optimum parameters is a complex problem. Multicriteria decision-making methods (MCDM) present powerful and flexible techniques for the solution of many sustainability problems. The article presents a new way of tackling transport pollution. The analysis of the energy ecological parameters of the experimental internal combustion engine is performed using the neutrosophic multi-objective optimization by a ratio analysis plus the full multiplicative form (MULTIMOORA) and step-wise weight assessment ratio analysis (SWARA) methods. The application of MCDM methods provides us with the opportunity to establish the best alternatives which reflect the best energy ecological parameters of the internal combustion engine.

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Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China

Cited by 231 publications

References 45 publications

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods

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