Estimating Performance of Intelligent Software Systems
Manu Banga1, Abhay Bansal2, Archana Singh3
1Manu Banga, Ph.D. Scholar, ASET, Amity University, Noida, India.
2Abhay Bansal, H.O.I. & Professor, Amity University, Noida, India.
3*Archana Singh, Professor, Amity University, Noida, India.
Manuscript received on 15 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 1150-1156 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4264098319/2019©BEIESP | DOI: 10.35940/ijrte.C4264.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Reliability is one of the most critical and fundamental aspect while evaluating any software. With the rapid growth in the use of software, the issues concerning the trustworthiness of the software are also increasing. This provides the authors, the motivation to evaluate the software systems fiducially through the implementation of entropy based on the combination weights (CW) methods. These weights are the result of mathematical computation and are based on experts’ opinion. The entropy based approach enables the authors to determine the degree of criteria as per experts’ judgment and also remove the biasness in the weights, by providing objective weights. On contrary the Analytic Hierarchy Process (AHP) has been considered as principal precise methods for decision making with multiple criteria has been extensively considered in the operations research literature as well as useful to solve countless real-world problems. The result of this research contributes in providing better judgments by imparting decision information to the decision makers and also illustrates the robustness of this approach.
Keywords: Software, trustworthiness, entropy, combination weights, decision judgment
Scope of the Article: Evaluation of Glazing Systems for Energy Performance