Many imaging modalities are available for the evaluation of the temporal bone of which high-resolution computed tomography (HRCT) plays a crucial role in demonstrating the detailed anatomy of the temporal bone and assessing the disease extent. Careful and thorough evaluation is needed for middle and inner ear lesions for the early diagnosis and treatment of the disease, to prevent complications and to determine the best surgical approach. The purpose of this study is primarily to understand the capability of HRCT in diagnosis and detection of pathologies of the temporal bone.

An optimal maintenance strategy is a key support to production in the manufacturing industry. This paper present a fuzzy approach based on Multi-Criteria Decision-Making (MCDM) methodology for selecting the optimal maintenance alternative. In the present work the criticality of each equipment is achieved by ranking (based on production loss).It is very difficult to quantify the qualitative factors in exact numerical value. These factors can be expressed in the linguistics terms which can be translated into mathematical measures by using fuzzy sets & system theory. The study problem to develop a fuzzy decision approach to rank the suitable maintenance alternative. The objective of this paper is to propose fuzzy frame work based on fuzzy number theory to solve optimal maintenance alternative which includes decision criteria analysis, weight assessment & decision model development. The approach can aid formulating a cost-effective maintenance strategy for a manufacturing plant.

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