Abstract
Performance Measurement (PM) can be defined as a combination of numerically expressed characteristics of a company’s, a team’s or an activity’s which give insight about the success or degree of accomplishment of the goals. The aim of performance measurement of process based enterprise applications is to provide an objective measurement which can be later used for promotions or rewards. In this paper, incomplete interval-valued intuitionistic preference relations are used to determine the weights of the key performance indicators (KPI) which are used aggregate and determine the final performance values.
Original language | English |
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Title of host publication | Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 |
Editors | Jie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng |
Publisher | World Scientific Publishing Co. Pte Ltd |
Pages | 851-856 |
Number of pages | 6 |
ISBN (Electronic) | 9789813146969 |
DOIs | |
Publication status | Published - 2016 |
Event | Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France Duration: 24 Aug 2016 → 26 Aug 2016 |
Publication series
Name | Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 |
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Conference
Conference | Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 |
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Country/Territory | France |
City | Roubaix |
Period | 24/08/16 → 26/08/16 |
Bibliographical note
Publisher Copyright:© 2016 by World Scientific Publishing Co. Pte. Ltd.