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This article aims to develop a methodology to forecast the probability of success regarding to the implementation of the concept of corporate social responsibility (CSR) and of the strategy of sustainable development in a mining company of exploitation of mineral resources. It is well known that in the modern period we are witnessing ever more to increased demands in terms of corporate responsibility towards the environment, in the area which can include economic, social, cultural and ecological environment. As a consequence of this fact, it increases the uncertainty of decisions to be adopted by companies, uncertainty that may arise from several aspects such as incompleteness, inconsistencies or inaccuracies in information or simply due to the subjective nature of human reasoning which often is expressed in words, through linguistic values. Thus, for modeling this vagueness of decision or prediction process there is a particularly effective tool, represented by the fuzzy logic through triangular fuzzy numbers. By multiplying the importance weight of factors that influencing the adoption of CSR and sustainable development policy with values resulting from evaluation of the possibility of successful implementation of this policy with respect to each factor, there it results a probability that suggests us if the action of implementation of CSR and of sustainable development strategy will have the overall expected effect and in the case the result is not properly there it will require remedial measures. The proposed methodology is applied in a case study concerning the Romanian mining company Roşia Montană Gold Corporation (RMGC) from Roşia Montană, Romania and also concerning the community in which it operates.

Starting from Michael Porter's statement, according to which the cluster, the simple concentration, pack or spatial, territorial agglomeration of SMEs, specialized in a field (service, product, knowledge) or interrelated areas, can generate sustainable competitive advantages in the market (including global) in this sector of specialization, in this article I will try to address the issue regarding to the implementation of regional cluster concept and of sustainable regional development in the "Apuseni Mountains" area, taking into account as nucleus the mining project from Roşia Montană (Romania), which could represent a real lever and a good example for stimulating the mining industry competitiveness, both at regional and also at national level. The idea of designing a regional cluster model, that has as "motor drive" the mining project from Roşia Montană, which otherwise should be like a point of "concentric radiance" in the purpose of launching of new economic activities and of developing of new specialized firms, could contribute to the increase of employment and of competitiveness of the companies in the region and implicitly to the improvement of the life of communities in which the cluster will be implemented, bringing also significant benefits to the Romanian state, both directly, but also indirectly through the multiplier effect and thus providing an example of good practice for other initiators of regional clusters.

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Starting from Michael Porter's diagnosis regarding the dynamics of the competitive environment based on five forces and from the perspective of the value chain analysis in achieving the competitive advantage on a cutting edge market, this article proposes an in-depth analysis in the topic of purchasing decisions within economic organizations, whose processes need to be approached strategically in order for organizations to develop and evolve properly. Managing in a proper way the relation with the suppliers of goods, raw materials, and services will determine the costs to decrease and thus the revenues and implicitly the profit will grow, placing the entity on a good track in fighting with competition and bringing benefits for all its stakeholders. Moreover, taking into account that the environment in which organizations operate is often surrounded by uncertainty, the decisional process, especially the strategic one, is characterized by ambiguity, doubled also by the subjectivity of the human factor in decisional reasoning. In this context, choosing the right supplier according to specific selection criteria represents the most important decision of the purchasing function. Sometimes, it requests the implementation of qualitative mathematical methods such fuzzy logic, which is a powerful tool that can efficiently shape the ambiguity within decision-making process and support the organization long-term strategy and competitive market positioning.