16,385 research outputs found

    Non-farm income diversification of rural farm households in Central and Southeastern Europe: an application of fuzzy set theory

    Get PDF
    A fuzzy logic model for quantifying farm households’ potential for non-farm income diversification is developed and applied to 1,077 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. About three quarters of households have a diversification potential, but not all households use it. An analysis of diversification potential and diversification behaviour shows that there are seven household types in the sample. Not all development options, i.e. farm development, farm exit, or starting non-farm employment, are equally suitable for all households thus fine targeting of policy measures according to the household type could be important for policy makers.rural development, non-farm rural employment diversification, fuzzy logic, transition countries, Community/Rural/Urban Development, C65, D33, J24, Q12,

    Arguments Whose Strength Depends on Continuous Variation

    Get PDF
    Both the traditional Aristotelian and modern symbolic approaches to logic have seen logic in terms of discrete symbol processing. Yet there are several kinds of argument whose validity depends on some topological notion of continuous variation, which is not well captured by discrete symbols. Examples include extrapolation and slippery slope arguments, sorites, fuzzy logic, and those involving closeness of possible worlds. It is argued that the natural first attempts to analyze these notions and explain their relation to reasoning fail, so that ignorance of their nature is profound

    A knowledge based system for valuing variations in civil engineering works: a user centred approach

    Get PDF
    There has been much evidence that valuing variations in construction projects can lead to conflicts and disputes leading to loss of time, efficiency, and productivity. One of the reasons for these conflicts and disputes concerns the subjectivity of the project stakeholders involved in the process. One way to minimise this is to capture and collate the knowledge and perceptions of the different parties involved in order to develop a robust mechanism for valuing variations. Focusing on the development of such a mechanism, the development of a Knowledge Based System (KBS) for valuing variations in civil engineering work is described. Evaluation of the KBS involved demonstration to practitioners in the construction industry to support the contents of the knowledge base and perceived usability and acceptance of the system. Results support the novelty, contents, usability, and acceptance of the system, and also identify further potential developments of the KBS

    Fuzzy Logic and Intelligent Agents: Towards the Next Step of Capital Budgeting Decision Support

    Get PDF
    The economic life of large investments is long and thus necessitates constant dynamic managerial actions. To be able to act in an optimal way in the dynamic management of large investments managers need the support of advanced analytical tools. They need to have constant access to information about the real time situation of the investment, as well as, access to up-to-date information about changes in the business environment. What is more challenging, they need to integrate qualitative information into quantitative analysis process, and to integrate foresight information into the capital budgeting process. In this paper we will look at how emerging soft computing technologies, specifically fuzzy logic and intelligent agents, will help to provide a better support in such a context and then to frame a support system that will make an integrated application of the aforementioned technologies. We will first develop a holistic framework for an agent-facilitated capital budgeting system using a fuzzy real option approach. We will then discuss how intelligent agents can be applied to collect decision information, both qualitative and quantitative, and to facilitate the integration of foresight information into capital budgeting process. Integration of qualitative information into quantitative analysis process will be discussed. Methods for integrating qualitative and quantitative information into fuzzy numbers, as well as, methods for using the fuzzy numbers in capital budgeting will be presented. A specification of how the agents can be constructed is elaborated.Intelligent Agents, Fuzzy Sets, Capital Budgeting, Real Options, DSS
    • …
    corecore