Type-2 Fuzzy Set Aggregation and Health Status Mining from Condition-Monitoring Applications

This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and / or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The solutions use a variety of fuzzy methods including clustering, fuzzy set aggregation and type- 2 fuzzy set and Type-2 fuzzy relation modeling of linguistic approximations. It is concluded that the fuzzy approach to the development of artificial intelligence in application systems is beneficial in these contexts because of the need to focus on uncertainty as a main issue. DOI: http://dx.doi.org/10.3329/bjsir.v49i4.22631 Bangladesh J. Sci. Ind. Res. 49(4), 271-274, 2014

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Representing a probabilistic linguistic term set with an interval type-2 fuzzy set and the application in green supplier selection

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-202386 ◽

2021 ◽

pp. 1-18

Author(s):

Le Jiang ◽

Hongbin Liu

Keyword(s):

Decision Making ◽

Membership Function ◽

Fuzzy Set ◽

Supplier Selection ◽

Symbolic Model ◽

Green Supplier Selection ◽

Linguistic Term ◽

Interval Type ◽

Decision Making Model

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.

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Comparison of the Effect of Non-Surgical Periodontal Therapy on Periodontal Health Status and Glycemic Control between Diabetes Mellitus Type 1 and Type 2

Indian Journal of Forensic Medicine & Toxicology ◽

10.37506/ijfmt.v15i2.14861 ◽

2021 ◽

Keyword(s):

Diabetes Mellitus ◽

Health Status ◽

Glycemic Control ◽

Diabetes Mellitus Type 1 ◽

Periodontal Therapy ◽

Diabetes Mellitus Type ◽

Periodontal Health

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On the use of jerk and snap in condition monitoring of machinery – review and case studies

Insight - Non-Destructive Testing and Condition Monitoring ◽

10.1784/insi.2021.63.8.457 ◽

2021 ◽

Vol 63 (8) ◽

pp. 457-464

Author(s):

S Lahdelma

Keyword(s):

Condition Monitoring ◽

Large Scale ◽

Early Stage ◽

Time Derivative ◽

Additional Insight ◽

Rolling Bearings ◽

Monitoring Applications ◽

Derivatives Of ◽

Insight Into ◽

Peak Value

The time derivatives of acceleration offer a great advantage in detecting impact-causing faults at an early stage in condition monitoring applications. Defective rolling bearings and gears are common faults that cause impacts. This article is based on extensive real-world measurements, through which large-scale machines have been studied. Numerous laboratory experiments provide additional insight into the matter. A practical solution for detecting faults with as few features as possible is to measure the root mean square (RMS) velocity according to the standards in the frequency range from 10 Hz to 1000 Hz and the peak value of the second time derivative of acceleration, ie snap. Measuring snap produces good results even when the upper cut-off frequency is as low as 2 kHz or slightly higher. This is valuable information when planning the mounting of accelerometers.

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