0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.03.043 ⇑ Corresponding author. Tel.: +90 3125823803; fax E-mail address: [email protected] (B. Yilma With the labor and material, equipments will be used in production processes, are one of the essential components of the production systems. Equipments used in production process are an important subject, effecting t...

The selection of remedial alternatives for mine sites is a complex task because it involves multiple criteria and often with conflicting objectives. However, an existing framework used to select remedial alternatives lacks multicriteria decision analysis (MCDA) aids and does not consider uncertainty in the selection of alternatives. The objective of this paper is to improve the existing framewo...

Although PM was basically created to treat subjective comparisons, given exact values can be converted to Potential Method flow. A new feature of PM is a parameter called FlowNorm which helps to treat problems where each criterion has its own measurement scale. Complex hierarchial structures and problems modelled by decision tables can be handled. Incomplete data, such as incomplete belief, is ...

This paper presents a new approach based on Multi-Criteria Decision Analysis (MCDA), named PROMETHEE-SAPEVO-M1, through its implementation and feasibility related to the decision-making process regarding evaluation of helicopters attack Brazilian Navy. The proposed methodology aims present an integration ordinal into cardinal procedure from PROMETHEE method, enabling perform qualitative quantit...

Failure Mode Effect Analysis (FMEA) is one of user friendly and handy tool available in the hands of the process industries to identifying and eliminating the potential failures in systems, processes and designing. In this FMEA method prioritization of the failure modes are based on Risk Priority Number (RPN). This RPN can be calculated by multiplying the scores of various risk factors and cate...

Gene expression datasets have been successfully applied for a variety of purposes, including cancer classification. The challenges faced in developing effective classifiers are high dimensionality and over-fitting. selection is an efficient method to overcome these improve the predictive accuracy classifier. Based on PROMETHEE, this paper introduces multi-filter ensemble approach by integrating...