Li Da Xu

A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory

: The theory of rough sets is an extension of set theory for studying intelligent systems characterized by insufficient and incomplete information. We discuss the basic concept and properties of knowledge reduction based on inclusion degree and evidence reasoning theory, and propose a knowledge discovery approach based on inclusion degree and evidence reasoning theory.

Flood decision support system on agent grid: method and implementation

In this paper, we introduce the concept and architecture of agent grid. Agent grid is an intelligent platform that enables the independent operating entities (agents) to interact with one another to form dynamic services on the Grid. Under this view, we built an agent grid platform named AGrIP that includes four layers and several useful toolkits. With the platform support, we implemented the flood decision support system which combines the wireless sensor network for data acquisition and software agent technology for legacy system integration. Additionally, we developed a toolkit for programmers to visually develop software agents which makes the development process easier. Besides, the MWAC model proposed is for sensor network to save power which can transit the information for long distance. This system is now applied as a module in the city emergency interact project.

An approach to enterprise process dynamic modeling supporting enterprise process evolution

This study presents an evolutionary approach to support dynamic enterprise modeling for enterprise process cooperative scheduling and management. In this paper, an evolutionary dynamic enterprise process modeling method was proposed from the concepts of enterprise process evolution to zero-time enterprise modeling and layered complex enterprise modeling. Based on an autonomous agent development platform, an agent-based enterprise collaborative modeling environment has been implemented by integrating several software resource agents that wrap main function modules of EPMS. Scheduling strategies, algorithms, and process-driven cooperative scheduling mechanism are also discussed.

Assessing the effects of manufacturing infrastructure preparation prior to enterprise information-systems implementation

Reports on the success or failure of enterprise information system (EIS) implementation have been decidedly mixed. In this study, we focus on manufacturing infrastructure preparation prior to EIS implementation and report the results of a survey of 152 US manufacturing companies that have implemented EIS. We have provided four major findings in this study: (1) the requirements from customers and trading partners are more powerful drivers motivating US manufacturing firms to implementing enterprise systems than internal business planning needs; (2) one manufacturing infrastructural issue often has implications for other infrastructural items in implementing technology, so various manufacturing infrastructural issues should be prepared simultaneously; (3) manufacturing infrastructure preparation prior to EIS implementation has significant positive effects on customer-focused performance, production/operations performance, and financial performance; and (4) better customer-focused performance contributes to better financial performance.

A literature review of electronic marketplace research: Themes, theories and an integrative framework

In this paper, we presented a literature review of the current status of electronic marketplace (EM) research. It consists of 109 journal articles published in 19 journals that are appropriate outlets for electronic commerce research. The results show that an increasing volume of EM research has been conducted from diverse theoretical perspectives. Based on content analysis, we identified eight research themes, five types of methodologies and six categories of background theories which most EM researches were grounded in. By combining research themes and the patterns of the background theories, an integrative framework of EM was proposed to represent the paradigms of EM researches. The framework shows that EM phenomena can be addressed from three perspectives: information systems, inter-organizational/social structure and strategic management perspectives. This framework suggests a parsimonious and cohesive way to explain key EM research issues such as EM adoption, success and impact.

Parameter mapping and data transformation for engineering application integration

Enterprise applications may be classified into management applications used by managerial staffs for making decisions on business operations, and engineering applications used by engineers for solving multidisciplinary design problems. In the literature, enterprise application integration is extensively addressed in the context of management applications, but insufficiently discussed in the engineering disciplines. Practitioners in manufacturing industries have for a long time feel the increasing need of integrating engineering applications, in order to accelerate product development paces and improve design qualities. Integrating engineering applications used in the multiple engineering disciplines has to cope with a number of challenges. This paper focuses on one of the critical issues: parameter mapping and data transformation, which is of pivotal importance to integrating engineering applications. Design parameter mapping provides a consistent approach to data extraction, storage, display and manipulation among different data sources. Data transformation describes the operational logic of parsing input/output files, extracting and transforming data, and maintaining consistency among multiple data sources.

Feature space theory in data mining: transformations between extensions and intensions in knowledge representation

Knowledge representation is one of the important topics in data mining research. In this paper, based on the feature space theory in data mining, the transformation between extensions and intensions of concepts is discussed in detail. First, inner projections of fuzzy relations, as a basic mathematical tool, are defined, and properties of inner projections are discussed. Then inner transformation of fuzzy relations, inverse inner transformations, and related properties are introduced. The concept structure is shown by feature spaces. Lastly, transformations between extensions and intensions are discussed.

A knowledge processing method for intelligent systems based on inclusion degree

: n nThe probability reasoning method, fuzzy reasoning method, evidential reasoning method and other reasoning methods are main techniques employed in intelligent systems for processing uncertain and vague information. The concept of inclusion degree was proposed earlier and it has been proved that the methods mentioned above are examples of inclusion degrees. In this paper, we introduce type S1 and type S2 inclusion degrees, discuss the relationship between them, and further propose inclusion degrees on interval numbers, divisions, vectors and set vectors. This paper addresses an uncertainty analysis method with different inclusion degrees for intelligent systems and other systems such as fuzzy relational databases.

A new type of recurrent fuzzy neural network for modeling dynamic systems

In this paper, a new type of neural network called recurrent fuzzy neural network (RFNN) is proposed to model the fuzzy dynamical systems (FDS). FDS is considered as an order system. The network developed in this paper is based on recurrent neural networks (RNN) to capture the dynamical properties of FDS. The training algorithm is derived based on the tool of order derivative. An example is given to demonstrate the validity of the approach.

An agent-based geographical information system

In this paper, a prototype geographical information system (GIS) using agent-based technology is introduced. The system known as GXGIS uses agent-based architecture for interactability and scalability. An interface agent is developed to interactively assist the user with the query formation process. The agent has the capability of offering domain knowledge that is associated with a given query. The agent is also able to record a users troubleshooting experience and show it to the same user or other users as hints. Furthermore, an agent-based architecture with a two-tier mediator model in GIS is developed to satisfy the needs for interoperability among diverse application domains and integration of heterogeneous data sources. As a result, both qualitative and quantitative data can be integrated into GIS.