A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis

Xie, Ningxin; Wen, Guoqiu; Li, Zhaowen

doi:10.1155/2014/581316

Cited by 15 publications

(10 citation statements)

References 33 publications

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“…The major advantage of GRA is that The grey relational coefficient the use of GRA allows to determine quantitative and qualitative relationships using a relatively low data or with great variability in factors. Although GRA method has widely been applied to various fields, such as engineering technology [29e31], medicine [32], agriculture [33], oil industry [34] and biology [35], to the best of authors' knowledge no study has so far been carried out to investigate the utilization of GRA approach in MECs. Hence, GRA is known as a new technique which could be applied for assessing electrode performance in MECs.…”

Section: Introductionmentioning

confidence: 99%

Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Kadier

Abdeshahian

Simayi

et al. 2015

Energy

109

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Section: Introductionmentioning

confidence: 99%

Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Kadier

Abdeshahian

Simayi

et al. 2015

Energy

109

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“…Up to now, on the basis of evidence theory, D-number, [38][39][40] Z-number, 41,42 and so on, have been studied by lots of scholars. As a result, evidence theory is not only used in medical diagnosis, [43][44][45] dependence assessment, 46 correlation, 47,48 data stream, 49 forensic crime investigations, 50 traffic, 51 and target recognition 52,53 but also in fault diagnosis. [54][55][56][57][58][59] There are many researches about applying evidence theory into fault diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory

Zhang

Deng

2018

Advances in Mechanical Engineering

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Fault diagnosis is a problem processing variable information obtained from different sources in nature. Evidence theory, efficient to deal with information viewed as evidence, is widely used in fault diagnosis. However, a shortcoming of the existing fault diagnosis methods only gets probability distribution rather than the basic probability assignment. A novel method of generating basic probability assignment that takes information quality into account is proposed. The probability distribution is determined by the preliminary matrix and sampling matrix that are constructed by sensor data. And the quality of probability distribution is taken as the discount factor and the rest of belief is assigned to the universal set. Hence, the basic probability assignment is obtained. Then, basic probability assignment can be combined with Dempster and Shafer evidence theory to determine the status of the engine. An application of engine fault is shown to illustrate the practicability of the proposed method. Then by comparing the result of the method which takes information quality into account (the proposed method) and does not do it, the former is better than the latter. Finally, the reliability analysis shows that the proposed method has strong reliability because performance accuracy is 100% when the error rate is less than 10%.

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“…The GRA has a great advantage to determine the intrinsic relationships within less data sequences controlled by various influential factors. Although the GRA technique was successfully used for various areas, e.g., engineering practice 28–30 , medicine 31 , hydrocarbon recovery 32–34 and microbial production 35–37 . To our best knowledge, few studies used this method to study the adaptability of CWHP in fractured-vuggy carbonate reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Oil recovery for fractured-vuggy carbonate reservoirs by cyclic water huff and puff: performance analysis and prediction

Wang

Sun

2019

Sci Rep

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Cyclic water huff and puff (CWHP) has proven to be an attractive alternative to improve oil production performance after depletion-drive recovery in fractured-vuggy carbonate reservoirs. However, due to the impact of strong heterogeneity, multiple types of fractured-vuggy medium, poor connectivity, complex flow behaviors and oil-water relationship, CWHP is merely suitable for specific types of natural fractured-vuggy medium, usually causing a great difference in actual oil-yielding effect. It remains a great challenge for accurate evaluation of CWHP adaptability and quantitative prediction of production performance in fractured-vuggy carbonate reservoir, which severely restricts the application of CWHP. For this study, we firstly enable the newly developed fuzzy grey relational analysis to quantify the adaptability of CWHP. With production history of several targeted producers, the accuracy of the proposed method is validated. Based on the traditional percolation theory and waterflood mechanisms in various types of fractured-vuggy medium, a quantitative prediction model for cyclic water cut fwp and increased recovery factor ΔR is presented. The CWHP production performance is discussed by using the Levenberg-Marquardt algorithm for history matching. With a better understanding of the fwp ~ ΔR curve characteristics in different types of fractured-vuggy medium, proper strategies or measures for potential-tapping remaining oil are provided. This methodology can also offer a good basis for engineers and geologists to develop other similar reservoirs with high efficiency.

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A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis

Cited by 15 publications

References 33 publications

Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory

Oil recovery for fractured-vuggy carbonate reservoirs by cyclic water huff and puff: performance analysis and prediction

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