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Faculty Performance Analysis by Implementing Optimization Technique on Multi Criteria Satisfaction Analysis


Affiliations
1 Research Scholar, Rabindranath Tagore University, Bhopal., India
2 Associate Professor, Dept. of Computer Science, Rabindranath Tagore University, Bhopal., India
 

The field of operations research models known as multi-criteria analysis, also known as Multi-Criteria DecisionMaking or Multi-Criteria Satisfaction Analysis deals with the process of making decisions when there are numerous objectives. The conflicting criteria, incomparable units, and challenges in designing/selecting alternatives are all aspects of these methods, which can manage both quantitative and qualitative criteria. The MUSA approach is an ordinal regression analysis-based preference disaggregation model. Based on their values and expressed preferences, the integrated methodology assesses the level of satisfaction of faculty at engineering institutions. The MUSA approach aggregates the various preferences in special satisfaction functions using data from satisfaction surveys. The paper presents a faculty performance analysis by implementing optimization technique known as PSO on Multi Criteria Satisfaction Analysis and shown performance analysis.

Keywords

MUSA, PSO, MUOMUSA, Optimization Technique.
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  • Faculty Performance Analysis by Implementing Optimization Technique on Multi Criteria Satisfaction Analysis

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Authors

GD Deshmukh
Research Scholar, Rabindranath Tagore University, Bhopal., India
Rajendra Gupta
Associate Professor, Dept. of Computer Science, Rabindranath Tagore University, Bhopal., India

Abstract


The field of operations research models known as multi-criteria analysis, also known as Multi-Criteria DecisionMaking or Multi-Criteria Satisfaction Analysis deals with the process of making decisions when there are numerous objectives. The conflicting criteria, incomparable units, and challenges in designing/selecting alternatives are all aspects of these methods, which can manage both quantitative and qualitative criteria. The MUSA approach is an ordinal regression analysis-based preference disaggregation model. Based on their values and expressed preferences, the integrated methodology assesses the level of satisfaction of faculty at engineering institutions. The MUSA approach aggregates the various preferences in special satisfaction functions using data from satisfaction surveys. The paper presents a faculty performance analysis by implementing optimization technique known as PSO on Multi Criteria Satisfaction Analysis and shown performance analysis.

Keywords


MUSA, PSO, MUOMUSA, Optimization Technique.

References