4,470 research outputs found
Soft set theory based decision support system for mining electronic government dataset
Electronic government (e-gov) is applied to support performance and create more efficient and
effective public services. Grouping data in soft-set theory can be considered as a decision-making
technique for determining the maturity level of e-government use. So far, the uncertainty of the data
obtained through the questionnaire has not been maximally used as an appropriate reference for the
government in determining the direction of future e-gov development policy. This study presents
the maximum attribute relative (MAR) based on soft set theory to classify attribute options. The
results show that facilitation conditions (FC) are the highest variable in influencing people to use
e-government, followed by performance expectancy (PE) and system quality (SQ). The results provide
useful information for decision makers to make policies about their citizens and potentially provide
recommendations on how to design and develop e-government systems in improving public services
Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL
Two well-known approaches for modelling virtual vegetation are grammar-based methods (L-systems) and the Xfrog method, which is based on graph transformations expanding "multiplier" nodes. We show that both approaches can be unified in the framework of "relational growth grammars", a variant of parallel graph grammars. We demonstrate this possibility and the synergistic benefits of the combination of both methods at simple plant models which were processed using our open-source software GroIMP
Simple identification tools in FishBase
Simple identification tools for fish species were included in the FishBase information system from its inception. Early tools made use of the relational model and characters like fin ray meristics. Soon pictures and drawings were added as a further help, similar to a field guide. Later came the computerization of existing dichotomous keys, again in combination with pictures and other information, and the ability to restrict possible species by country, area, or taxonomic group. Today, www.FishBase.org offers four different ways to identify species. This paper describes these tools with their advantages and disadvantages, and suggests various options for further
development. It explores the possibility of a holistic and integrated computeraided strategy
Selected bibliography on the modeling and control of plant processes
A bibliography of information pertinent to the problem of simulating plants is presented. Detailed simulations of constituent pieces are necessary to justify simple models which may be used for analysis. Thus, this area of study is necessary to support the Earth Resources Program. The report sums up the present state of the problem of simulating vegetation. This area holds the hope of major benefits to mankind through understanding the ecology of a region and in improving agricultural yield
Agent-Based Models and Simulations in Economics and Social Sciences: from conceptual exploration to distinct ways of experimenting
Now that complex Agent-Based Models and computer simulations
spread over economics and social sciences - as in most sciences of complex
systems -, epistemological puzzles (re)emerge. We introduce new
epistemological tools so as to show to what precise extent each author is right
when he focuses on some empirical, instrumental or conceptual significance of
his model or simulation. By distinguishing between models and simulations,
between types of models, between types of computer simulations and between
types of empiricity, section 2 gives conceptual tools to explain the rationale of
the diverse epistemological positions presented in section 1. Finally, we claim
that a careful attention to the real multiplicity of denotational powers of
symbols at stake and then to the implicit routes of references operated by
models and computer simulations is necessary to determine, in each case, the
proper epistemic status and credibility of a given model and/or simulation
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