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A Cascaded Fuzzy Inference System for University Non-Teaching Staff Performance Appraisal
Neogi, Amartya,Mondal, Abhoy Chand,Mandal, Soumitra Kumar Korea Information Processing Society 2011 Journal of information processing systems Vol.7 No.4
Most organizations use performance appraisal system to evaluate the effectiveness and efficiency of their employees. In evaluating staff performance, performance appraisal usually involves awarding numerical values or linguistic labels to employees performance. These values and labels are used to represent each staff achievement by reasoning incorporated in the arithmetical or statistical methods. However, the staff performance appraisal may involve judgments which are based on imprecise data especially when a person (the superior) tries to interpret another person's (his/her subordinate) performance. Thus, the scores awarded by the appraiser are only approximations. From fuzzy logic perspective, the performance of the appraisee involves the measurement of his/her ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms. Accordingly, fuzzy approach can be used to handle these imprecision and uncertainty information. Therefore, the performance appraisal system can be examined using Fuzzy Logic Approach, which is carried out in the study. The study utilized a Cascaded fuzzy inference system to generate the performance qualities of some University non-teaching staff that are based on specific performance appraisal criteria.
A Cascaded Fuzzy Inference System for University Non-Teaching Staff Performance Appraisal
( Amartya Neogi ),( Abhoy Chand Mondal ),( Soumitra Kumar Mandal ) 한국정보처리학회 2011 Journal of information processing systems Vol.7 No.4
Most organizations use performance appraisal system to evaluate the effectiveness and efficiency of their employees. In evaluating staff performance, performance appraisal usually involves awarding numerical values or linguistic labels to employees performance. These values and labels are used to represent each staff achievement by reasoning incorporated in the arithmetical or statistical methods. However, the staff performance appraisal may involve judgments which are based on imprecise data especially when a person (the superior) tries to interpret another person`s (his/her subordinate) performance. Thus, the scores awarded by the appraiser are only approximations. From fuzzy logic perspective, the performance of the appraisee involves the measurement of his/her ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms. Accordingly, fuzzy approach can be used to handle these imprecision and uncertainty information. Therefore, the performance appraisal system can be examined using Fuzzy Logic Approach, which is carried out in the study. The study utilized a Cascaded fuzzy inference system to generate the performance qualities of some University non-teaching staff that are based on specific performance appraisal criteria.
Kazi Ahsan Habib,Amit Kumer Neogi,오진아,이윤호,김충곤 한국해양과학기술원 2019 Ocean science journal Vol.54 No.1
The new puffer fish species Chelonodontops bengalensis (Pisces: Tetraodontidae) is described from two specimens collected on the southwest coast of the Bay of Bengal, Bangladesh. C. bengalensis is closely related to C. patoca (Hamilton, 1822), both species being large puffers with a peculiar, disc-shaped exposed nasal organ. The new species however differs from C. patoca with respect to dorsal rays (12 vs 10), anal rays (10 vs 8), pectoral rays (19 vs 15–16) and gill rakers (8 vs 7). C. bengalensis has spinules on its lateral sides but not on the caudal peduncle (vs. a patch of spinules on the back from behind the interorbital nearly to the dorsal fin and another on the throat and abdomen but absent on the lateral sides in C. patoca). Both the DNA barcode region of the mitochondrial COI gene and 16S rRNA gene region of C. bengalensis showed a clear monophyletic clade that distinguishes it as a separate species in the phylogenetic tree from other closely related puffer fish species. The COI barcode region shows a genetic divergence of 6 to 7.6% between C. bengalensis and C. patoca reported in GenBank from different parts of Asia.
Santoshi Mohanta,Yashwanth Padarthi,Jeetendra Gupta,Swati Neogi 한국섬유공학회 2020 Fibers and polymers Vol.21 No.11
Ensuring the desired degree of cure during manufacturing of vacuum infusion molded (VIM) composite laminateis important to optimize the production time and performance. The traditional method of estimating the degree of cure usingDifferential Scanning Calorimetry (DSC) method cannot be applied during manufacturing. An alternative approach has beenexplored here by embedding Fiber Bragg grating (FBG) sensor and conventional strain sensor in the composite laminateduring manufacturing and mapping the strain developed due to curing with degree of cure. A proper methodology is followedto embed the sensors accurately over glass fiber mats. It is demonstrated that the strain developed during manufacturingindeed indicates different stages of curing cycle. The strain developed can further be mapped with the degree of cure which isestimated by performing a curing experiment using DSC under identical cure conditions as maintained during manufacturing. Thermal Mechanical Analysis (TMA) is also performed to confirm the fact that strain is generated due to shrinkage whichoccurs during the curing process. The initial drop in strain before the crosslinking reaction begins can be attributed to thereduction in viscosity which is further confirmed by the Rheometry analysis. It is established that the time when strain startsto progress and attains a constant value coincides with the onset (tgel) and completion of the curing process respectively.