Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management

Dağdeviren, Metin; Yüksel, İhsan

doi:10.1016/j.ins.2007.10.016

Cited by 384 publications

(182 citation statements)

References 44 publications

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“…Further evidence of its reliability and validity are provided in Table 1, which presents the standard estimate values, Cronbach's alpha, and average variance extracted scores of different factors' obtained (AVE), composite reliability (CR), and inter-construct correlation values. The reliabilities of the individual dimensions ranged from 0.791 to 0.918, which exceeds the recommended level of 0.7 [53,67,68]. The AVE of all the latent variables was greater than the acceptable limit of 0.5, which further supports the convergent validity of the construct.…”

Section: Structural Equation Modeling Approachmentioning

confidence: 66%

“…The reason for using TFNs in this study is that they are a suitable tool for formulating decision problems and modeling decision makers' vague and incomplete judgments. Moreover, it is easy and convenient for experts or decision makers to apply and calculate the criteria weight and normalization [32,[67][68][69][70]. The scales and related TFNs are shown in Table 2.…”

Section: Fuzzy Analytic Hierarchy Approachmentioning

confidence: 99%

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A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

Pipatprapa

Huang

2016

Sustainability

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Currently, the environment and sustainability are important topics for every industry. The food industry is particularly complicated in this regard because of the dynamic and complex character of food products and their production. This study uses structural equation modeling (SEM) and a fuzzy analytic hierarchy process (FAHP) to investigate which factors are suitable for evaluating the environmental performance of Thailand's food industry. A first-stage questionnaire survey was conducted with 178 managers in the food industry that obtained a certificate from the Department of Industrial Work of Thailand to synthesize the performance measurement model and the significance of the relationship between the indicators. A second-stage questionnaire measured 18 experts' priorities regarding the criteria and sub-factors involved in the different aspects and assessment items regarding environmental performance. SEM showed that quality management, market orientation, and innovation capability have a significantly positive effect on environmental performance. The FAHP showed that the experts were most concerned about quality management, followed by market orientation and innovation capability; the assessment items for quality policy, quality assurance, and customer orientation were of the most concern. The findings of this study can be referenced and support managerial decision making when monitoring environmental performance.

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Section: Structural Equation Modeling Approachmentioning

confidence: 66%

Section: Fuzzy Analytic Hierarchy Approachmentioning

confidence: 99%

A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

Pipatprapa

Huang

2016

Sustainability

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“…Weight refers to the standard is as follow formula (3) and (4) With respect to the addition, the multiplication and the scalar-multiplication of triangular fuzzy number in accordance with classical mathematical calculation rule, evaluation factors of triangular fuzzy number described more objective than traditional scoring assignment method. Triangular fuzzy number and scoring assignment respectively express road traffic safety evaluation indexes showed in Table 1 [12], [13]. (6) Final weight of each evaluation factors i w , can be sorted…”

Section: The Weight Of the Index I Wmentioning

confidence: 99%

Intrinsic Safety Evaluation for Urban Road Traffic Based on Information Entropy and Triangular Fuzzy Number

2016

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Abstract. Road traffic safety is a major problem, especially in low-and middle-income countries. This study attempted to evaluate traffic safety based on the concept of intrinsic safety, which can provide theoretical support for the road traffic management departments. The evaluation weight calculation about the pre-weight of the second level evaluation index based on the information entropy, and then calculates the final weight by combing qualitative and quantitative methods. The weight of the third level evaluation index using the triangular fuzzy number method. In order to verify the effectiveness and feasibility of the method via a case study. by computing the proportions of evaluation indexes based on the model, we found that the ranking is intrinsic human>intrinsic road and environment>intrinsic vehicle. However, the gap about the proportion of the three is small. Furthermore, the sub factors ranking influencing factors as follows: the human's alertness = road and the environment's completeness>vehicle's technical>human's self-consciousness >natural conditions >vehicle's maintenance. Given the objectivity of the model in the paper, especially using the entropy weight method to calculate the weight of the index factors. The result of the evaluation for the model is similar with current situation of road traffic safety, thus, it can be taken as a valuable reference to promoting the traffic safety. So it can provide theoretical basis for urban road transport departments to formulate relevant policies.

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“…Efforts to provide work safety in workplaces, such as risk management, are not only important for the health of workers but also inevitable managerial activities for economic and financial performance, productivity of the facility and the quality and continuity of production [7]. Because of the hazardous nature of construction work, occupational safety is a serious problem in the construction industry.…”

Section: Safety Analysismentioning

confidence: 99%

Fuzzy Logic Applications In Chemical Processes

Emami¹

2010

J. Math. Computer Sci.

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Abstract:Fuzzy logic a new approach was intended to emulate human reasoning using calculations and operations with fuzzy groups and linguistic variables. Fuzzy variables describe qualitative expressions such as very slow, slow, fast, very fast, and so on. The application of fuzzy logic techniques has been increasing rapidly in the last few years. Fuzzy logic is used in target tracking, pattern recognition, robotics, power systems, controller design, chemical engineering, biomedical engineering, vehicular technology, economy management and decision making, aerospace applications, communications and networking, electronic engineering, and civil engineering. In many chemical engineering systems, the classification of product quality characteristics is performed by human experts, due to the absence of measuring devices. The development of mathematical models for such systems is a rather difficult task, since no equations based on first principles can be written. Chemical engineering has employed fuzzy logic in the detection of chemical agents as well as gas recognition. It has also been applied to processes control, batch distillation column, separation process, and kinetics. In this research, we investigate these applications in more detail.

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Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management

Cited by 384 publications

References 44 publications

A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

Intrinsic Safety Evaluation for Urban Road Traffic Based on Information Entropy and Triangular Fuzzy Number

Fuzzy Logic Applications In Chemical Processes

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