Fuzzy arithmetic based reliability allocation approach during early design and development

Sriramdas, V.; Chaturvedi, Sanjay K.; Gargama, Heeralal

doi:10.1016/j.eswa.2013.10.048

Cited by 63 publications

(39 citation statements)

References 10 publications

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“…A superstructure with process model for GTL process synthesis is available (Ellepola et al, 2012). The reliability consideration early in the design process has been recognized before (Sriramdas et al, 2014), the difference being the focus on reliability allocation for the uncertainty in the structure rather than optimization.…”

Section: Introductionmentioning

confidence: 99%

Reliability Integration to Process Synthesis applied to GTL Processes

Blanco

Grievink

Thijssen

et al. 2014

Computer Aided Chemical Engineering

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Section: Introductionmentioning

confidence: 99%

Reliability Integration to Process Synthesis applied to GTL Processes

Blanco

Grievink

Thijssen

et al. 2014

Computer Aided Chemical Engineering

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“…Defuzzification, as the necessary step in the fuzzy context, has been implemented in a great deal of research [49,50]. Many techniques for defuzzification have been developed, such as the area defuzzification technique, the left and right fuzzy ranking, the centroid-based Euclidean distance technique and so on, but there is no universal consensus [50]. The prevailing approach is based on the centroid, whose center of gravity of a specified curve is calculated.…”

Section: (3) Fuzzy Operators and Defuzzification For Tfnsmentioning

confidence: 99%

“…Fuzzy numbers usually must be transferred into crisp values for ranking and prioritization purposes, and this process is called defuzzification [46]. Defuzzification, as the necessary step in the fuzzy context, has been implemented in a great deal of research [49,50]. Many techniques for defuzzification have been developed, such as the area defuzzification technique, the left and right fuzzy ranking, the centroid-based Euclidean distance technique and so on, but there is no universal consensus [50].…”

Section: (3) Fuzzy Operators and Defuzzification For Tfnsmentioning

confidence: 99%

ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China

et al. 2016

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Abstract:With the rapid depletion of natural resources and undesired environmental changes globally, more interest has been shown in the research of green supply chain practices, including end-of-life vehicle (ELV) recycling. The ELV recycling is mandatory for auto-manufacturers by legislation for the purpose of minimizing potential environmental damages. The purpose of the present research is to determine the best choice of ELV recycling service provider by employing an integrating hybrid multi-criteria decision making (MCDM) method. In this research, economic, environmental and social factors are taken into consideration. The linguistic variables and trapezoidal fuzzy numbers (TFNs) are applied into this evaluation to deal with the vague and qualitative information. With the combined weight calculation of criteria based on fuzzy aggregation and Shannon Entropy techniques, the normative multi-criteria optimization technique (FVIKOR method) is applied to explore the best solution. An application was performed based on the proposed hybrid MCDM method, and sensitivity analysis was conducted on different decision making scenarios. The present study provides a decision-making approach on ELV recycling business selection under sustainability and green philosophy with high robustness and easy implementation.

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“…Recent examples of fuzzy arithmetic applications are found in group decision making [Xia et al 2013;Baležentis and Zeng 2013], medical diagnosis [Ç elik and Yamak 2013], reliability analysis [Sriramdas et al 2014;Shaw and Roy 2013], geology [Park et al 2012], model validation [Haag et al 2012], and power systems [Marin et al 2014]. In the classic approach to interval arithmetic, a region is defined to which the value of a variable is expected to belong.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions

Marín

Defour

Milano

2016

ACM Trans. Math. Softw.

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This paper addresses the execution cost of arithmetic operations with a focus on fuzzy arithmetic. Thanks to an appropriate representation format for fuzzy intervals, we show that it is possible to halve the number of operations and divide by 2 to 8 the memory requirements compared to conventional solutions. In addition, we demonstrate the benefit of some hardware features encountered in today's accelerators (GPU) such as static rounding, memory usage, instruction level parallelism (ILP) and thread-level parallelism (TLP). We then describe a library of fuzzy arithmetic operations written in CUDA and C++. The library is evaluated against traditional approaches using compute-bound and memory-bound benchmarks on Nvidia GPUs, with an observed performance gain of 2 to 20.

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Fuzzy arithmetic based reliability allocation approach during early design and development

Cited by 63 publications

References 10 publications

Reliability Integration to Process Synthesis applied to GTL Processes

Reliability Integration to Process Synthesis applied to GTL Processes

ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China

An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions

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