Abstract
Forecasting of minimum living needs is useful for companies in financial planning next year. In this study, the firescasting is done using automatic clustering and optimized fuzzy logical relationships. Automatic clustering is used to form a sub-interval time series data. Particle swarm optimization is used to set and optimze interval values in fuzzy logical relationships. The data used as many as 11 years of historical data from 2005-2015. The optimal value of the test results obtained by the p = 4, the number of iterations = 100, the number of particles = 45, a combination of Vmin and Vmax = [-0.6, 0.6], as well as combinations Wmax and Wmin = [0, 4, 0 , 8]. These parameters values produce good forecasting results. Keywords: minimum living needs, automatic clustering, particle swarm optimization, fuzzy logical relationships
Highlights
Computer based collaborations are still in their evolution
This work discusses about the design and development of a system that can be used to accommodate collaboration in the aspect of document production and sharing, and as an alternative to keep the availability of document by offering a restricted repository service that allow only certain authenticated members
Left side show the archives store in the Repository Edge and the right side handle interactive process to share a file to the JXTA network
Summary
Computer based collaborations are still in their evolution. The demand and idea on how to do collaboration grow all the time. The current state of the work requires studies in the implementation of several scenarios in which one of them is to support collaborative documents production within the workflow context that should run on a peer-to-peer infrastructure over real globally distributed users. Set and lock the environment, implied an authentication scheme, or doing user management with a clear classification and grouping rules are three of these possibilities (Androutsellis, 2004) These assumptions are used in the system development. 1.2 Objective and Boundary The objective of this work is to develop a collaborative document production based workflow system that will support at least three specific features: common authentication scheme, document sharing/P2P document repository system, and a generic workflow template and its management system.
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