Belief-Rule-based Decision Support System for Evaluating of Job Offers

Abstract

The word "Job" 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 individual personality. Then it requires the job offer evaluation. To fulfill their desired goal, it is the" evaluation" which assesses them well. This involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness 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. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base decision support system(DSS), which is capable of addressing suitable job by taking account of large number of criteria, where there exist factors of both subjective and objective nature.

Belief-Rule-Based Intelligent Decision System to Select Hospital Location

“…It also considers the pattern of the system organization, known as architectural style. BRB IDS adopts the three-layer architecture [23] [24], which consist of presentation layer, application layer and data processing layer as shown in figure 1. …”

Decision Support System to Target Suitable Area of Industry based on Evidential reasoning Approach.

“…The input transformation of a value of an antecedent attribute P i consists of distributing the value into belief degrees of different referential values of that antecedent. This is equivalent to transforming an input into a distribution on referential values of an antecedent attribute by using their corresponding belief degrees [14] [24]. The ith value of an antecedent attribute at instant point in time can equivalently be transformed into a distribution over the referential values, defined for the attribute by using their belief degrees .…”

“…Different from traditional MADA approaches, ER presents MADA problem by using a decision matrix, or a belief expression matrix, in which each attribute of an alternative described by a distribution assessment using a belief structure. The inference procedures in BRB inference system consists of various components such as input transformation, rule activation weight calculation, rule update mechanism, followed by the aggregation of the rules of a BRB by using ER [15] [16][18] [24]. The input transformation of a value of an antecedent attribute P i consists of distributing the value into belief degrees of different referential values of that antecedent.…”

“…This BRB IDS designed using the ER approach [15][18] [20][21] [24]which is described in section 2.2. It is similar to traditional forward chaining.…”

“…When the kth rule is activated, the weight of activation of the kth rule, is calculated by using the flowing formula [17][18] [24].…”