Evaluation of Job Offers Using The Evidential Reasoning Approach

Authors

  • Tanjim Mahmud

  • Kazi Namirur Rahman

  • Dr.Mohammad Shahadat Hossain

Keywords:

multiple criteria decision analysis (MCDA), uncertainty, evidential reasoning (ER) and analytical hierarchy process (AHP)

Abstract

The word 2018;Job2019; term as a regular activity performed in exchange for payment is considered as one of the most important activities for many families worldwide .Evaluation is necessary when more than one opportunity come to an To fulfill their desired goal, it is the 2018;evaluation2019; which assesses among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incomplete-ness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a job will become inapt. There exist many methods name as Analytical Hierarchical Process (AHP), Analytical Network Process (ANP) and so on. But the mentioned methods are not suitable to address the subject of uncertainty and hence, resulting inappropriate selection to the expecting job. Therefore, this paper demonstrates the application of a novel method named Evidential Reasoning (ER), which is capable of addressing the uncertainty of multi-criterion problem, where there exist factors of both subjective and objective nature. The ER method handles uncertainties by using a belief structure is aggregating degrees of belief from lower level factors to higher level factors.

How to Cite

Tanjim Mahmud, Kazi Namirur Rahman, & Dr.Mohammad Shahadat Hossain. (2013). Evaluation of Job Offers Using The Evidential Reasoning Approach. Global Journal of Computer Science and Technology, 13(D2), 35–44. Retrieved from https://computerresearch.org/index.php/computer/article/view/363

Evaluation of Job Offers Using The Evidential Reasoning Approach

Published

2013-05-15