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Computational Ecology and Software, 2020, 10(3): 133-150
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Article

Interactive software for classification and ranking procedures based on multi-criteria decision-making algorithms

M. Tlas, B. Abdul Ghani
Scientific Services Department, Atomic Energy Commission of Syria (AECS), P. O. Box 6091, Syria

Received 11 May 2020;Accepted 20 June 2020;Published 1 September 2020
IAEES

Abstract
Interactive software that helps the decision maker to choose the optimal ranking for complex systems has been prepared according to multiple preference criteria. The code algorithm is based on famous mathematical methods well known in multi-criteria decision making, such as VIKOR, TOPSIS, and the weighted sum method (WSUM). This code is used at the AECS to assess and classify the performance of employees or for inter-departmental comparison according to their scientific and technical output performance. It can also be used in wider fields outside the AECS according to preference criteria carefully selected by the decision-maker. Beneficiaries might include Syrian private and state universities or academics. Criteria elements can, for example, be drafted along international standards of copyrighted internal reports, published papers, journal impact factor, journal citations, H-index and registered patents. Two real examples are explained in this paper to prove the validity and consistency of this computer code.

Keywords ranking and classification methods;multi-criteria optimization;multi-criteria decision-making;multi-objective optimization;multi-criteria decision aid.

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