Fuzzy grey relation method for multiple criteria decision-making problems

Liao, Mao-Sheng; Liang, Gin-Shuh; Chen, Chin-Yuan

doi:10.1007/s11135-012-9704-5

Cited by 50 publications

(28 citation statements)

References 16 publications

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“…According to [43] and [44], Table 1 lists the transformation rules for criteria performances of evaluation object, and the transformation rules for criteria weight determination are listed in Table 2. Table 1.…”

Section: Triangular Fuzzy Numbermentioning

confidence: 99%

“…To rate the risk of the Qinghai-Tibet power grid interconnection project, graded mean integration representation (GMIR) method is employed to defuzzify the triangular fuzzy number [44,46]. The graded mean integration representation R pr v k q of triangular fuzzy numbers r v k can be calculated by…”

Section: Risk Evaluation Framework Based On Meem Under Fuzzy Environmentmentioning

confidence: 99%

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Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Liu

2016

Sustainability

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Tel./Fax: +86-1061773129 † These authors contributed equally to this work. Abstract:The Qinghai-Tibet power grid interconnection project is the first power transmission project with the highest altitude, longest transmission lines, longest distance running across the plateau frozen ground, and highest iron tower in the world. The risk evaluation on it can identify the overall risk level and key risk factors, which can reduce risk-induced loss and promote sustainable construction. In this paper, the risk of the Qinghai-Tibet power grid interconnection project was evaluated by employing a matter-element extension model under a fuzzy environment. After building the risk evaluation index system, the performances and weights of criteria were qualitatively judged by three groups of experts in different fields, and then the risk of the Qinghai-Tibet power grid interconnection project was rated by employing matter-element extension model. Meanwhile, the sensitivity analysis was performed to identify key risk criteria. The empirical results indicate the risk of the Qinghai-Tibet power grid interconnection project belongs to the "stronger" grade, tending to the "strongest" grade. "Social stability risk", "altitude sickness seizure risk", "permafrost-induced risk", "severe weather-induced risk", and "ecological destruction risk" are key sub-criteria, which should be paid more attention to when taking risk management measures. Finally, some countermeasures for key risks of the Qinghai-Tibet power grid interconnection project were given. The findings in this paper can provide references for engineering managers and related stakeholders.

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Section: Triangular Fuzzy Numbermentioning

confidence: 99%

Section: Risk Evaluation Framework Based On Meem Under Fuzzy Environmentmentioning

confidence: 99%

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Liu

2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…The graded mean integration representation method (GMIR) proposed by Chen and Hsieh (2000) is employed to rank the final alternatives' ratings in this paper [16,17]. Let , ,…”

Section: Triangular Fuzzy Numbermentioning

confidence: 99%

“…Considering the different dimensions and units of objective criteria, the raw data of objective criteria are needed to be converted to dimensionless scales in order to ensure the compatibility between fuzzy evaluation value of objective criteria and linguistic rating of subjective criteria [17].…”

Section: Normalize the Initial Fuzzy Decision Matrixmentioning

confidence: 99%

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Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability

2014

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Abstract:With the growing worldwide awareness of environmental protection and sustainable development, green purchasing has become an important issue for companies to gain environmental and developmental sustainability. Thermal power is the main power generation form in China, and the green supplier selection is essential to the smooth and sustainable construction of thermal power plants. Therefore, selecting the proper green supplier of thermal power equipment is very important to the company's sustainable development and the sustainability of China's electric power industry. In this paper, a hybrid fuzzy multi-attribute decision making approach (fuzzy entropy-TOPSIS) is proposed for selecting the best green supplier. The fuzzy set theory is applied to translate the linguistic preferences into triangular fuzzy numbers. The subjective criteria weights are determined by using decision makers' superiority linguistic ratings and the objective ones are determined by combining the superiority linguistic ratings and fuzzy-entropy weighting method. The fuzzy TOPSIS is employed to generate an overall performance score for each green supplier. An empirical green supplier selection is conducted to illustrate the effectiveness of this proposed fuzzy entropy-TOPSIS approach. This proposed fuzzy entropy-TOPSIS approach can select the proper green supplier of thermal power equipment, which contributes to promoting the company's sustainable development and the sustainability of China's electric power industry to some extent.

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Hesitant fuzzy best‐worst multi‐criteria decision‐making method and its applications

Asif

Rashid

2019

Int J Intell Syst

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Best-worst method (BWM) is extended to uncertain situations, hesitant fuzzy best-worst method (HFBWM) is proposed by using hesitant fuzzy multiplicative preference relation for multiple-criteria group decision-making problems. The reference comparison of the best criterion and the worst criterion are described by the linguistic terms, which are expressed in hesitant fuzzy elements, of the decision makers. Weights of criteria are calculated by using score function. Using the concept of BWM, nonlinearly constrained optimization problems are formed to obtain hesitant fuzzy weights (HFWs) of different criteria and alternatives. To check the reliability of the HFBWM, consistency ratio is proposed. The advantage and suitability of the proposed HFBWM are determined by three case studies. The results indicate that the HFBWM, due to higher comparison consistency as compared to BWM, obtain plausible preference ranking for alternatives. K E Y W O R D S consistency ratio, hesitant fuzzy best-worst method, hesitant fuzzy reference comparison (HFRC), hesitant fuzzy sets (HFS), multiple-criteria decision-making

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Fuzzy grey relation method for multiple criteria decision-making problems

Cited by 50 publications

References 16 publications

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability

Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability

Hesitant fuzzy best‐worst multi‐criteria decision‐making method and its applications

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