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This paper presents results from a survey carried out in Benin City, Nigeria to determine factors that could enhance the case detection rate for tuberculosis. Studies have shown that while the treatment rate is impressive, notification rates over the last decade have been discouraging. Results from the survey identified four key factors that must be combined to increase case detection rates. These factors are effective awareness programme, active cough identification, associated cost factor for treatment of identified cases, stepping up screening exercises and conducting routine tests at regular intervals especially in high population density areas.

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

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