Construction Labour Productivity Based on Fitness Model Using Fuzzy Logic and Artificial Neural Network

Overall competency of the working personal is often observe to ultimately affect the productivity of an organization. The globalized competitive atmosphere coupled with technological improvements demands for efficient and specialized manpower for the industrial operations. a set of typical technological skill and attitudes is thus demanded for every job profiles .most often ,these skills and attitudes are expressed impressively and hence necessitating the support of fuzzy sets for their effective understanding and further processing. In this project, a method based on fuzzy axiomatic design principles is applied for solving the personal selection problem. Selecting a middle management staff of a service department for a large scale organization is demonstrated here as a real life example. Five shortlist candidates are assessed with respect to a set of 18 evaluation criteria, and the selection committee with experts from the related fields also realizes the outcome of the adopted approach to be quite.