2003
DOI: 10.1006/mssp.2001.1395
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Using Fuzzy Linguistics to Select Optimum Maintenance and Condition Monitoring Strategies

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Cited by 65 publications
(37 citation statements)
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“…On the other hand, Bevilacqua and Braglia proposed traditional AHP (Analytic Hierarchy Process) methodology in order to select the best maintenance strategy for an oil refinery processing plant [14]. Another paper was introduced by Mechefske and Wang [15]. In the paper, a fuzzy linguistic approach adopted to achieve the subjective assessments of maintenance strategies and managing practices.…”
Section: Literature Review On Maintenance Planningmentioning
confidence: 99%
“…On the other hand, Bevilacqua and Braglia proposed traditional AHP (Analytic Hierarchy Process) methodology in order to select the best maintenance strategy for an oil refinery processing plant [14]. Another paper was introduced by Mechefske and Wang [15]. In the paper, a fuzzy linguistic approach adopted to achieve the subjective assessments of maintenance strategies and managing practices.…”
Section: Literature Review On Maintenance Planningmentioning
confidence: 99%
“…In the real world, the attribute values of alternatives are often uncertain due to estimation inaccuracies and errors in measurement and it is also difficult for the MM to provide a clear aspiration-level. Interval numbers can usually be used to describe uncertain and inaccurate attribute values or aspiration-levels in practical MADM problems [6]. Solve the above problems are in need of repair or engineering technician expert judgment, MM are often at risk for a maintenance program on subjective preferences, then mostly also showed varying degrees of knowledge based on experience and knowledge uncertainty, but the existing methods sufficiently consider the important role of the aspiration-level in decision analysis.…”
Section: Finally a Specific Example Of Decision Of Maintenance Stratmentioning
confidence: 99%
“…Various fields have successfully and comprehensively applied fuzzy logic theory. Previous studies have used it to investigate decision-making and evaluate new technology in the construction industry (Chao and Skibniewski, 1998), by selecting an architectureengineering team (Nguyen et al, 2008), selecting the most efficient maintenance approach (Al-Najjar and Alsyouf, 2003;Mechefske and Wang, 2003;Tahir et al, 2008), and evaluating industrial robotic systems (Kahraman et al, 2007). Fuzzy logic theory is suitable for assessing complicated and hard-to-quantify decision-making problems (Hsueh and Yan, 2011), especially those that involve group decision-making (Hadi-Vencheh and Mokhtarian, 2011;Li and Yang, 2004;Li, 2010;Chen and Lee, 2010;Chen and Niou, 2011).…”
Section: Model Overviewmentioning
confidence: 99%