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This study aimed to determine the level of the valuation of the image and identity of Batna as historic, traditional, revolutionary city, with specific natural and cultural skills. The study also sought to identify the impact of marketing on the valuation of territorial identity and image of Batna. The study was conducted on a sample of 24 directorates representing all the actors in Batna city. We distributed 158 questionnaires to employees in these directorates, 135 were recovered, were valid for statistical analysis. After treatment and analysis of hypothesis using SPSS, it was ascertained the existence of a positive rating of the economic partners to apply the territorial marketing on Batna city as a touristic destination. The study concluded that there is an impact between the application of territorial marketing on Batna city and the valuation of the image and the city identity. The results show statistically significant differences in the application of territorial marketing in terms of its dimensions due to accept the presence of the partnership and to the fact that the concerned directorate is a main part.

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Quality Function Deployment is a tool to develop and design the quality in product and improve competitiveness advantages in the market. In developing new products and projects, we receive the needs from the customer, pass it around a corporate communication circle, and eventually return it to the customer in the form of the new product. First, needs and languages received from customer are often ambiguous, imprecise, and uncertain causing deviated studied results, and in a disregarding of the voice of customer. Second, to improve quality and solve the uncertainty in product development, numerous researchers try to apply the fuzzy set theory to product development. Their models usually focus only on customer requirements or on engineering characteristics. The subsequent stages of product design are rarely addressed. The correlation between engineering characteristics and benchmarking analysis disregarded in most of Quality Function Deployment practices related researches. This commonly upsets the consequences to delay and failed project development. Aiming to solve these three issues, the objective of this paper is to improve the accuracy of Quality Function Deployment, optimize and develop the customer requirements approach to attenuate risks in subsequent phases and in manufacturing process to increase industrial performance. This approach is based on Fuzzy sets theory and Alpha-cut operations, Pairwise comparison method, and fuzzy ranking and clustering method, and on theory of inventive problems solving (TRIZ).

In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called "NFPROG" (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) -University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7was chosen as a programming language platform for our system.