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Industry is the production of goods or related service within an economy. The major source of revenue of a group or company is the indicator of its relevant industry. The right location is often critical to the success of a business. Location is particularly important for retail businesses. Poor location decisions are difficult and expensive to overcome. If we are buying an established business it is still necessary to check the suitability of the location because it is reflected in the price paid for goodwill. there, for The general public’s demand of Bangladesh for safe business is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced industry resources is deteriorating the assurance of safe business of the people. Therefore, the new industry construction with rational allocation of resources is imminent and significant. The site selection for establishing a industry is one of the crucial policy-related decisions taken by planners and policy makers. The process of industry site selection is inherently complicated because of 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 suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for industry by taking account of large number of criteria, where there exist factors of both subjective and objective nature.

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