Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making

Wang, Rui

doi:10.1016/j.eswa.2021.114982

Cited by 46 publications

(10 citation statements)

References 35 publications

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“…In this study, TFN was shown using three real numbers M = (l, m, u), in which the upper bound is (u), lower bound is (l), infimum is (m), and 'M' is the most probable value of a fuzzy number [51]. TFN reflects the membership by the function, which can show the information of the experts more simply and accurately regarding a complex decision-making problem [52]. TFN has been applied in various domains, including risk, evaluation, anticipation, and expert systems [53].…”

Section: The Fuzzy Delphi Methodsmentioning

confidence: 99%

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

et al. 2022

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Design errors have always been recognized as one of the main factors affecting safety and health management and sustainable development in surface mines. Unfortunately, scant attention is paid to design errors and the factors causing them. Therefore, based on expert opinions, this study aimed to identify, rank, and investigate cause-and-effect relationships among variables influencing human error in surface mine design in Iran. The study variables were identified by reviewing previous literature on “latent human errors” and “design errors.” After specifying effective variables, two rounds of the Fuzzy Delphi study were carried out to reach a consensus among experts. Nineteen variables with an influencing score of 0.7 and higher were screened and given to the experts to be analyzed for cause-and-effect relationships by the fuzzy DEMATEL method. The results of the study revealed that the following variables were the major factors affecting human error as root causes: poor organizational management (0.62), resource allocation (0.30), training level (0.27), and experience (0.25). Moreover, self-confidence (−0.29), fatigue (−0.28), depression (−0.25), and motive (−0.23) were found to be effect (dependent) variables. Our findings can help organizations, particularly surface mines, to opt for effective strategies to control factors affecting design errors and consequently reduce workers’ errors, providing a good basis for achieving sustainable development.

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Section: The Fuzzy Delphi Methodsmentioning

confidence: 99%

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

et al. 2022

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“…Triangular fuzzy number is an important fuzzy number, which can solve the problems in uncertain environment [ 15 ]. It is widely used in quality management and risk management [ 16 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Service design touch point failure model and effect analysis based on the triangular fuzzy number evaluation method

Wang

Song

Chen

et al. 2022

Int J Interact Des Manuf

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How to improve employees' satisfaction in the remote office mode while working together has become a challenge for enterprises to deal with the new office management mode. The concept of service design touch point is introduced into the remote office management system to improve employees' office experience and help enterprises complete the remote office service design. From the perspective of virtuous circle, the cost of failure analysis and preventive measures for service design touch point in the process of service design is lower than that of dealing with failure after service failure. Therefore, this paper made a risk assessment on the failure mode of service design touch point loss analysis method based on the triangular fuzzy number evaluation method. In the failure risk assessment, the fuzzy failure mode and effect analysis theory and the failure mode of service design touch point are analyzed first, and the expert scoring method is used to evaluate and determine the fuzzy level of severity, occurrence and detection of each failure mode; Then, aiming at the ability difference of different experts in evaluating different objects, the expert importance matrix, which is based on attribute difference, is determined; On this basis, the risk priority value of each failure mode is analyzed and determined by fuzzy calculation method. The risk evaluation ranking results of touch point failure modes are obtained according to the risk priority value. Finally, taking the failure analysis of Y company's remote collaborative office service as an example, the feasibility of the method is verified by the case of protection during COVID-19.

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“…Therefore, it is more flexible and practical in dealing with uncertain problems. Using this method can effectively improve the objectivity and effectiveness of research results in uncertain environment [59]. The steps were as follows:…”

Section: Key Factor Identificationmentioning

confidence: 99%

An Ecological Development Level Evaluation of the Forestry Industry in China Based on a Hybrid Ensemble Approach

Zhang

2021

Forests

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The straits of ecological development in the forestry industry and the problems existing in the industrial forestry system are currently the main focus of policy-making research in China, to alleviate the contradiction between forestry economic development and the ecological environment, as well as evaluate the level and trend of the ecological development in China’s forestry industry. This paper analyzed the status of ecological development in China’s forestry industry via public data, constructed a novel evaluation index system for forestry industrial ecological development, and proposed a hybrid ensemble approach combined with principal component analysis, entropy weights, and fuzzy-DEMATEL to synthetically evaluate the ecological development level and system coordination of the forestry industry in each province of China. The experimental results show that technological innovation ability is the most significant restriction for the ecological development of China’s forestry industry. Obvious regional differences in the promotion degree of ecological development and the coordination of various elements throughout the country has also been confirmed. Findings of our research could be used for promoting the green transformation and upgrading of the forestry industry, and providing targeted practical countermeasures according to local conditions for governments at all levels.

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Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making

Cited by 46 publications

References 35 publications

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

Service design touch point failure model and effect analysis based on the triangular fuzzy number evaluation method

An Ecological Development Level Evaluation of the Forestry Industry in China Based on a Hybrid Ensemble Approach

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