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This research is done with the purpose of examining the necessities in managing knowledge and knowledge network creation in the petroleum industry of Iran. This research on the base of its goal is a developing research, and the research methodology is quantitative and survey research. Needed information in this study is gathered from document analysis and semi-directed interview and analyzed by content analysis method consequently. The results of this research reveal that because of special properties which exist in large industries like petroleum industry(including geographical expansion area, wide variety of technical knowledge fields, many specialists and experts, etc.), knowledge management is so important that knowledge networks are the most efficient and effectiveness way for managing knowledge. These knowledge networks are designed in order to cause innovation and create and share knowledge amongst individuals and different knowledge bases. Also different kinds of knowledge and their application in the industry especially in petroleum industry, different ideas about a framework for knowledge network and finally designing a basic model for developing knowledge networks in organizations will be presented.

Making decisions is certainly the most important task of a manager and it is often a very difficult one. This paper offers a decision making procedure for solving complex problems step by step. It presents the decision-analysis process for both public and private decision-making, using different decision criteria, different types of information, and information of varying quality. It describes the elements in the analysis of decision alternatives and choices, as well as the goals and objectives that guide decision-making. The key issues related to a decision-maker's preferences regarding alternatives, criteria for choice, and choice modes, together with the risk assessment tools are also presented. The domain of decision analysis models falls between two extreme cases. This depends upon the degree of knowledge we have about the outcome of our actions. One "pole" on this scale is deterministic. The opposite "pole" is pure uncertainty. Between these two extremes are problems under risk. The main idea here is that for any given problem, the degree of certainty varies among managers depending upon how much knowledge each one has about the same problem. This reflects the recommendation of a different solution by each person. Probability is an instrument used to measure the likelihood of occurrence for an event. When you use probability to express your uncertainty, the deterministic side has a probability of 1 (or zero), while the other end has a flat (all equally probable) probability. The following sections of this paper are arranged as below. After introduction in section one, Decision Making under Pure Uncertainty are disscussed in section two. Section 3 and 4, are allocated to decision making under risk and bayesian approach The Journal of Mathematics and Computer ScienceJamshid Salehi Sadaghiyani/ TJMCS Vol .2 No.3 (2011) 529-545 530 respectively. Fifth section talks about decision tree and influence diagram and finally the paper will end with a brief conclusion.

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