Fuzzy Rule Generation from the EMEP Ozone Model to Examine Source-Receptor Relations

The objective of this paper is to describe research on the development of a simplified version of the European ozone model using fuzzy rule generation methodology. The ozone model is used to predict tropospheric (at the ground level) ozone concentration. The simplified ozone model illustrates source-receptor relationships between ozone precursor emissions (NOx and VOCs) and ozone concentration in the troposphere, taking into account meteorological conditions. This ozone model was developed by the Cooperative Programme for Monitoring and Evaluation of Long-Range Air Pollutants in Europe (EMEP). The EMEP model provides a detailed prediction of ozone concentration at every grid in Europe by taking into account physical and chemical mechanisms. However, the model is too complicated for nonspecialists, such as policymakers trying to set emission reduction levels that result in ozone concentrations below given limits. Therefore, there is a need for a simplified ozone model that can be verified by the EMEP model and that can be used for analyzing policy options. One approach is to use the fuzzy rule generation methodology. In this approach, the simplified model consists of a number of fuzzy rules. Fuzzy rules have a fuzzy proposition in the conditional statement and a linear regression model in the conclusion. The rules describe a complete nonlinear system by using several linear models and membership functions. The development of such fuzzy rules is called fuzzy modeling. The membership functions of conditional variables are determined by the subset of data which is obtained by a clustering method. The degree of confidence of a rule is determined by the grade of the membership functions for input values. The role of fuzzy logic is to integrate fuzzy rules smoothly. In this paper, a basic scenario, which predicts no reduction of ozone precursor emissions, is used to determine fuzzy rules, subsequent scenarios are derived from the basic scenario, which includes information on source-receptor relationships. Simplified models of three grids have been developed to show the effectiveness of this approach. This methodology can be used to develop models of all grids

Kansei Visualization System using Fuzzy Correspondence Analysis

In this paper, a visualization system using the individual fluctuation on evaluation is introduced. The system equips the fuzzy correspondence analysis which quantifies relationships between evaluation objects and items. The system can visualize these locations and circles expressing the relative fuzziness of the fluctuation. We define a similarity measure between the evaluation objects and items, taking into account both of the distance and the relative fuzziness. The obtained similarity measure is utilized to determine ranking of objects under a given linguistic quantifier and several evaluation items such as adjectives. The effectiveness of the system is shown through analysis of the subjective evaluation about traditional craft of Ishikawa Prefecture.The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.htmlProceedings of KSS'2007 : The Eighth International Symposium on Knowledge and Systems Sciences : November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN]Organized by: Japan Advanced Institute of Science and Technolog

A simplified ozone model based on fuzzy rules generation

In this paper, simplified ozone models for potential use in integrated assessment are developed from the EMEP ozone model, which is a single-layer Lagrangian trajectory model. The simplification method uses fuzzy rule generation methodology to represent numerous results of the EMEP model as a response surface describing the source-receptor relationships between ozone precursor emissions and daily tropospheric ozone concentrations

Knowledge Discovery of Interview Survey on Fresh Food Management

In this paper, the analysis of the questionnaire survey to managers on food processing is introduced. Management of losses due to out of stock and surplus stock in a retail food store are well known as an important element in fresh food management. The manager who has a responsibility in side dishes area faces difficult decisions on food processing such as quantitative and qualitative arrangement. So, interview investigation is carried out to the manager of the side dishes section. The purpose is to explore elements which the managers usually focus on decide kinds of side dishes and amount of processing foods, and pay attention to avoid opportunity of loss and spoiling loss. According to the analysis, their knowledge is extracted by a technique of text mining.The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.htmlIFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2115, Kobe, JapanSymposium 5, Session 1 : Data/Text Mining from Large Databases Data Minin

Design of a Software Agent for Business Gaming Simulation

This paper introduces an agent model for one of the business games called Bakery Game. Business game is a tool the understand business and the principle of management through the experience in a virtual world. In order to construct computer agents for the gaming simulation that can participate in the game and become human players' worthy rival, we combine simple model that consider the property of Bakery Game and strategy adjustment model. The agent has so-called strategy parameters that are updated through the experience. The agent changes the strategy depending on the situation. The agent participates in the game that regenerated from log data that recorded various situations.The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.htmlIFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2078, Kobe, JapanSymposium 2, Session 4 : Creation of Agent-Based Social Systems Sciences Gaming and Simulatio