N. Chaudhry, J. Moyne and E. Rundensteiner, "Designing Databases with Fuzzy Data and Rules for Application to Discrete Control," University of Michigan, CSE Division, Technical Report, CSE-TR-224-94, November 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....loops. This limits the flexibility and applicability of this approach to area of control applications. RELATED WORK 41 3. 2 ADBMS in control There have been many attempts to use active databases for the control of processes, tasks, workflows, activities, operations [Seg95] Bar95] Nor95] [Cha95], Kap95] Gep95] This section studies these earlier attempts. 3.2.1 THE DATABASE RESEARCH GROUP (ETH ZENTRUM) The database research group at ETH in Z rich take the view that a CIM system is a form of cooperative work among component systems. The emphasis is on coordination, system wide ....

....that has processed a wafer receives advice from a later cell to adjust its process. The idea is to use active rules to achieve inter cell feed forward and feedback control of the manufacturing process. The research is focused on developing models for fuzzy data and fuzzy processing of active rules [Cha95]. The motivation is that the manufacturing of semiconductors is not well understood and measurements cannot be directly used to decide which action to take. As far as we know, the experience of the use of active rules in this application has not been reported. 3.2.4 LONG RUNNING OPERATIONS A ....

Chaudhry, N., Moyne, J., Designing Databases with Fuzzy Data and Rules for Applications of Discrete Control, Technical Report, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA.

....rule based decision making process to select from multiple algorithms. The fuzzy rules express knowledge about the suitability of the different control algorithms based on the process conditions. For a detailed description of the Algorithm Selection Module and its integration with the GCC, see [16, 4]. The basic functionality of the ASM is depicted in Figure 5. 3.2 The MIT Run by Run Controller The MIT Run by Run (MIT RbR) controller is the main control algorithm that is in use in the current GCC implementation. It provides sequential control advices through a multivariate adaptive ....

N. Chaudhry, J. Moyne and E. Rundensteiner, "Designing Databases with Fuzzy Data and Rules for Application to Discrete Control," University of Michigan, CSE Division, Technical Report, CSE-TR-224-94, November 1994.

....fuzzy ER model to capture fuzzy rules. The result is a methodology for capturing both fuzzy as well as rule data at the conceptual level. This methodology is general and here we outline its application to the design of the Fuzzy R2R Controller database. For more details the reader is referred to [CMR94b]. In Section 5.1 we give a brief outline of FERM. The application of FERM to model fuzzy rules is described in Section 5.2. Section 5.3 contains the description of the database design and implementation of the Fuzzy R2R Controller. 5.1 Fuzzy Entity Relationship Methodology (FERM) In this ....

....the keys of the entities will be considered crisp, i.e. nonfuzzy. An outline of some of the extensions carried out, by other researchers, to relational data theory are given in Appendix A. We have given a detailed description of the extensions carried out to the ER methodology in [CMR94a] [CMR94b]. In this section, we only describe the DBFuzzifier construct, since we utilize the DBFuzzifier construct to incorporate knowledge from heterogeneous sources in our rule base. DBFuzzifier: The Fuzzy R2R Controller is designed to allow adding rules from different sources. Precise rules may exist ....

N. Chaudhry, J. Moyne and E. Rundensteiner, "Designing Databases with Fuzzy Data and Rules for Application to Discrete Control," Electrical Engineering & Computer Science Dept., Computer Science and Engineering Division, University of Michigan, Ann Arbor, Tech. Rep. CSE-TR-224-94, November 1994.

....of the AC. We are currently focussing out attention on the issues of modeling and handling fuzzy data and rules in active object oriented databases. Note that for this research effort, we will be building upon our previous research carried out to fuzzify the control database for the GCC [CMR94a] [CMR94b], MCT94] 5 Conclusions and Future Work Numerous tasks need to be carried out in the near future to develop and test out the AC. We are developing an environment in which the AC can be tested out with the other CIM components. The ODE active database management system [GeJ91] is being used for ....

N. Chaudhry, J. Moyne and E. Rundensteiner, "Designing Databases with Fuzzy Data and Rules for Application to Discrete Control," University of Michigan, CSE Division, Technical Report, CSE-TR-224-94, November 1994.

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