This study extends the BSMAP (Biobjective Selective Maintenance AllocationProblem) from deterministic to fuzzy cases, where the cost of maintaining a component, total failed component cost within a subsystem, and the total cost of maintaining the whole system are considered to be fuzzy numbers. The BSMAP has been modified as a BFSMAP (Biobjective fuzzy selective maintenance allocation problem), where the fuzzy and crisp number of failed items are repaired and replaced to achieve the maximum reliability of a system in a cost-effective manner using a fuzzy programming approach. Numerical examples are used to illustrate the method for solving BFSMAP.
Although fuzzy logic theory was proposed about three decades ago, it is only until recently that fuzzy control technology has been successfully applied to many industrial systems and domestic appliances. Much of these developments is mainly due to a better understanding of the concept of fuzzy logic, its simplicity of implementation, and its feasibility in hardware development. This article intends to provide a simple but clear understanding on the concept of fuzzy logic and its application to control systems (therefore not intended for those who have already understood the basic principles of fuzzy logic control). A simulation example is given on the development and operation of a fuzzy logic controller for a multi-variable water bath temperature control system. C-pseudocodes are given in the Appendices to clarify the water bath fuzzy control algorithms.
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