![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Faculty Performance Analysis by Implementing Optimization Technique on Multi Criteria Satisfaction Analysis
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.
User
Font Size
Information
- Beuthe M. and G. Scanella “Comparative analysis of UTA Mutlicriteria Methods”, European Journal of Operational Research, (130), 2, 2021, 246-262.
- Charnes A. and W. W. Cooper “Management models and industrial applications of linear programming”, Vol I, Wiley, New York. Customers Satisfaction Council. Customer Satisfaction Assessment Guide, Motorola University Press, 2021
- Despotis D. K., D. Yannacopoulos and C. Zopounidis “A review of the UTA multicriteria method and some improvements”, Foundation of Computing and Decision Science, (15), 2, 2020, 63- 76.
- Dutka A. “AMA Handbook of Customer Satisfaction: A Complete Guide to Research, Planning and Implementation”, NTC Business Books, Illinois, 2019
- Gerson R. F. “Measuring faculty satisfaction: A guide to managing quality service”, Crisp Publications, Menlo Park, 2020
- Grigoroudis E. and Siskos Y. “Customer Satisfaction Evaluation: Methods for Measuring and Implementing Service Quality with Integrated Software”, Kluwer Academic Publishers, Dordrecht, 2020
- Grigoroudis E., A. Samaras, N. F. Matsatsinis and Y. Siskos“Preference and Faculty Satisfaction Analysis: An Integrated Multicriteria Decision Aid Approach”, Proceedings of the 5th Decision Sciences Institute’s International Conference on Integrating Technology & Human Decisions: Global Bridges into the 21st Century, Athens, Greece, (2), 2017, 1350-1352
- Grigoroudis E., J. Malandrakis, J. Politis and Y. Siskos “Customer Satisfaction Measurement: An Application to the Greek Shipping Sector”, Proceedings of the 5th Decision Sciences Institute’s International Conference on Integrating Technology & Human Decisions: Global Bridges into the 21st Century, Athens, Greece, (2), 2019, 1363-1365
- Grigoroudis E., Y. Siskos and O. Saurais, “TELOS: A faculty Satisfaction Evaluation Software, Computers and Operational Research”, 7-8, (27), 799-817. Hill, N. Handbook of faculty satisfaction measurement, Gower Publishing, Hampshire, 2019
- Jacquet-Lagrèze E. and J. Siskos “Assessing a Set of Additive Utility Functions for Multicriteria Decision-Making: The UTA method”, European Journal of Operational Research, (10), 2, 2019, 151-164.
- Keeney R. and H. Raiffa “Decisions with Multiple Objectives: Preferences and Value Tradeoffs”, Value-Focused Thinking: A Path to Creative Decision Making, Harvard University Press, London, 2019
- Kirkwood C. W. “Strategic Decision Making: Multi-Objective Decision Analysis with Spreadsheets”, Duxbury Press, Belmont, 2019
- Matsatsinis N. F., E. Ioannidou and E. Grigoroudis “Customer Satisfaction Evaluation using Data Mining Techniques”, Proceedings of the European Symposium on Intelligent Techniques 99, Kolympari, Chania, 2019
- Mihelis G., E. Grigoroudis, Y. Siskos, Y. Politis and Y. Malandrakis “Customer Satisfaction Measurement in the Private Bank Sector”, European Journal of Operational Research, (130), 2, 2019, 347- 360.
- Naumann E. and K. Giel “Customer Satisfaction Measurement and Management: using the Voice of the Faculty”, Thomson Executive Press, Cincinnati, 18, 2019, 382-401
- Siskos Y., D. Yannacopoulos, “UTASTAR: An Ordinal Regression Method for Building Additive Value Functions”, InvestigaçaoOperacional, (5), 1, 2019, 39-53
- Siskos Y., E. Grigoroudis, C. Zopounidis and O. Saurais, “Measuring Faculty Satisfaction using a Collective Preference Disaggregation Model”, Journal of Global Optimization, 12, 2018, 175-195.
- Srinivasan V. and A. D. Shocker, “Linear Programming Techniques for Multi-Dimensional Analysis of Preferences”, Psychometrika, 38, 2020, 337-369.
- Van de Panne C., “Methods for Linear and Quadratic Programming”, North-Holland Publishing Company, Amsterdam, 2020
- Vavra T. G., “Improving Your Measurement of Faculty Satisfaction: A Guide to Creating, Conducting, Analyzing, and Reporting Faculty Satisfaction Measurement Programs”, ASQC Quality Press, Milwaukee, 2019
- Wagner H. M. “Linear Programming Techniques for Regression Analysis”, Journal of the American Statistical Association, 54, 2019, 206-212
- Woodruff R. B. and S. F. Gardial, “Know Your Faculty: New Approaches to Understanding Faculty Value and Satisfaction”, Blackwell Publishers, Oxford, 2018
- W Qing, Z Han-chao “Optimization of Task Allocation and Knowledge Workers Scheduling Based-on Particle Swarm Optimization”, International Conference on Electric Information and Control Engineering (ICEICE), 2017, 574 – 578
- Tung Yang, J Chou“Multi-Objective Optimization for Manpower Assignment in Consulting Engineering Firms”, Applied Soft Computing 11, 2017, 1183–1190
- Wang Kai, He Hong"Application Research on Satisfaction Evaluation of Clothing Advertising based on Micro Expression Recognition Technology, Int. J. Advanced Networking and Applications, Volume: 12 Issue: 04, 2021, 4639- 4643
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 110
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0