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In this complex world, coping with daily problems is quite tedious. The more advancement in technology means more difficulties in decision-making process. Hence some analytical tools are needed to deal with improvement in decisions being made. A classic AHP model enables us to make efficient decision by reducing the complex issues. It takes multiple parameters into consideration. One of the area where decision-making is quite a tough job is Politics. Selection of the electoral party in any elections, be it Lok Sabha elections or Rajya Sabha elections, has been a matter of discussion for the voters as well as the media. The decisions are reflected when uncertainties are added in the opinions of the domain experts due to multiple parameters. In this paper we have proposed a model for rectifying the uncertainties using multi criteria decision analysis and analytic hierarchy process (AHP).

Effective supply chain integration, and the tight co-ordination it creates, is an essential pre-requisite for successful supply chain management. "Decision-Making for Supply Chain Integration" is a practical reference on recent research in the area of supply chain integration focusing on distributed decision-making problems. Recent applications of various decision-making tools for integrating supply chains are covered including chapters focusing on: Supplier selection, pricing strategy and inventory decisions in multi-level supply chains, RFID-enabled distributed decision-making, Operational risk issues and time-critical decision-making for sensitive logistics nodes, Modelling end to end processes to improve supply chain integration, and Integrated systems to improve service delivery and optimize resource use. "Decision-Making for Supply Chain Integration" provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques. By covering such a range of topics in this way, "Decision-Making for Supply Chain Integration" is a useful reference for researchers looking to develop their knowledge or find potential new avenues of research

A report on research based on the value orientations approach developed by Florence R. Kluckhohn (with Strodbeck, Fred L., Variations in Value Orientations: A Theory Tested in Five Cultures, Evanston, Ill: Row, Peterson, 1961) to study how culturally determined differences in value orientations can be employed to identify sources of intercultural conflicts & misunderstandings. Federal, state, & local government agency employees (N = 29, 37, & 37) concerned with natural resource management, & their counterparts in 3 client groups common to all, a bank, a timber company, & an Indian tribe (N = 40, 35, & 67) were interviewed. Kluckhohn value profiles developed for each were compared to determine whether they could explain the bases for misunderstandings & conflicts. It was found that the stereotypes which society is thought to hold about several of the groups are incorrect; the misperceptions each group has about the real values of other groups could well provide the bases for misunderstandings on the use of natural resources. Further, the Kluckhohn profiles appear to provide more constructive grounds for explaining the bases for these differences than either the dominant social paradigm or the new environmental paradigm. 3 Tables, 15 References. Modified AA

This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility. ; Army Research Office (ARO), PO Box 1221, Research ; Approved for public release; distribution is unlimited.