6,986 research outputs found

    Towards systematic understanding of institutional interests in current agenda items at the world radiocommunication conference

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    The World Radiocommunication Conference (WRC) serves as a forum to negotiate, review, and revise the Radio Regulations (RR), an international treaty and one of the most difficult regulations for radiocommunication services. RR is complex since it includes intergovernmental issues in relation to regulation covering technical, legal and societal aspects. A large number of parties are interested and involved in revising RR and creating supranational instruments for optimal management of the spectrum. As a consequence, it can be difficult for one involved stakeholder to see its own position and other relevant issues directly influencing them in relation to the whole work of WRC and its subprocesses. A systematic analysis of the main decision-making process would contribute to better understanding of the role of WRC and positions of the involved parties. The aim of the paper is to contribute to better understanding of the role of the WRC with a focus on the current agenda items. Agenda items are specified issues from RR that need to be handled at an actual conference. The point of departure is using the institutional analysis and development (IAD) framework [see Ostrom (2011)] to gain a suitable institutional overview of the main decision-making process and its sub-processes. The IAD framework has the capacity to explain jointly produced outcomes, such as negotiating an international treaty depending on multiple inputs and different priority levels. Also, it can be used to enhance the understanding of WRC matters in order to improve the decision-making process by focusing on the main interactions and involved parties in relation to the possible outcomes of the WRC. The paper is based on data obtained from historical documents, content analysis, literature review, observations, and interviews. The results of this paper illustrate the benefits of the IAD framework in the context of the WRC, especially for the process of agenda setting and study cycles. The practical implications are important for policy makers, for example, since it highlights critical actors, events, and interactions aligned with the main activities of WRC. A stakeholder will better understand its own position and its possibility for control, both in relation to the overall process and the sub-processes important for agenda items in which it has an interest. It will gain understanding not only of the overall role of WRC, but also of its own possibilities to intervene during the process of revision of RR so that it could protect its interests - e.g., with more proper contribution in the suitable forums with the expected outcome. --Radio Regulations (RR),institutional analysis and development (IAD) framework,World Radiocommunication Conference (WRC),WRC agenda items,decision situation

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    An Evolutionary Learning Approach for Adaptive Negotiation Agents

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    Developing effective and efficient negotiation mechanisms for real-world applications such as e-Business is challenging since negotiations in such a context are characterised by combinatorially complex negotiation spaces, tough deadlines, very limited information about the opponents, and volatile negotiator preferences. Accordingly, practical negotiation systems should be empowered by effective learning mechanisms to acquire dynamic domain knowledge from the possibly changing negotiation contexts. This paper illustrates our adaptive negotiation agents which are underpinned by robust evolutionary learning mechanisms to deal with complex and dynamic negotiation contexts. Our experimental results show that GA-based adaptive negotiation agents outperform a theoretically optimal negotiation mechanism which guarantees Pareto optimal. Our research work opens the door to the development of practical negotiation systems for real-world applications

    A FUZZY MADM METHOD FOR KEY SECTOR IDENTIFICATION: THE CASE OF INDONESIA

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    Conventionally, the identification of a key sector of an economy is always associated with the measurement of the intersectoral linkages, in which a key sector is defined as a sector that provides an above-average contribution in inducing the whole economy to grow. Unfortunately, the existing methods for key sector identification have also some conceptual limitations. Due to the limitations inherent in existing methods, an altern ative approach, providing more realistic, appropriate meaning and broader perspectives in interpreting the notion of a key sector, is desirable. The main objective of this work is to provide methodological improvements over previous works in examining the key sectors of an economy, by proposing an alternative approach involving the application of fuzzy set theory in the field of multi-criteria decision making. The modeling of the key sector identification problem as a fuzzy-MADM problem enables the consideration of other relevant criteria. The application of fuzzy sets theory makes possible the assessment of qualitative and imprecise information, which is very often found but is difficult to solve in real life decision making problems. When applying data to Indonesia, the new approach has successfully identified key sectors the Indonesian economy which vary over time under study

    A rule-based method for scalable and traceable evaluation of system architectures

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    Despite the development of a variety of decision-aid tools for assessing the value of a conceptual design, humans continue to play a dominant role in this process. Researchers have identified two major challenges to automation, namely the subjectivity of value and the existence of multiple and conflicting customer needs. A third challenge is however arising as the amount of data (e.g., expert judgment, requirements, and engineering models) required to assess value increases. This brings two challenges. First, it becomes harder to modify existing knowledge or add new knowledge into the knowledge base. Second, it becomes harder to trace the results provided by the tool back to the design variables and model parameters. Current tools lack the scalability and traceability required to tackle these knowledge-intensive design evaluation problems. This work proposes a traceable and scalable rule-based architecture evaluation tool called VASSAR that is especially tailored to tackle knowledge-intensive problems that can be formulated as configuration design problems, which is demonstrated using the conceptual design task for a laptop. The methodology has three main steps. First, facts containing the capabilities and performance of different architectures are computed using rules containing physical and logical models. Second, capabilities are compared with requirements to assess satisfaction of each requirement. Third, requirement satisfaction is aggregated to yield a manageable number of metrics. An explanation facility keeps track of the value chain all along this process. This paper describes the methodology in detail and discusses in particular different implementations of preference functions as logical rules. A full-scale example around the design of Earth observing satellites is presented

    Blind restoration of images with penalty-based decision making : a consensus approach

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    In this thesis we show a relationship between fuzzy decision making and image processing . Various applications for image noise reduction with consensus methodology are introduced. A new approach is introduced to deal with non-stationary Gaussian noise and spatial non-stationary noise in MRI
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