scholarly journals Measuring Inconsistency over Sequences of Business Rule Cases

2021 ◽  
Author(s):  
Carl Corea ◽  
Matthias Thimm ◽  
Patrick Delfmann
Keyword(s):  
Rule Base ◽  
Business Rules ◽  
Business Rule ◽  
Rationality Postulates ◽  
Rule Bases

We investigate inconsistency and culpability measures for multisets of business rule bases. As companies might encounter thousands of rule bases daily, studying not only individual rule bases separately, but rather also their interrelations, becomes necessary. As current works on inconsistency measurement focus on assessing individual rule bases, we therefore present an extension of those works in the domain of business rules management. We show how arbitrary culpability measures (for single rule bases) can be automatically transformed for multisets, propose new rationality postulates for this setting, and investigate the complexity of central aspects regarding multi-rule base inconsistency measurement.

scholarly journals Modeling Business Rule Parallelism by Introducing Inclusive and Complex Gateways in Semantics of Business Vocabulary and Rules

2021 ◽  
Vol 14 (1) ◽  
pp. 281-295
Author(s):  
Irene Tangkawarow ◽  
◽  
Riyanarto Sarno ◽  
Daniel Siahaan ◽  
◽  
...  
Keyword(s):  
Business Process ◽  
Free Choice ◽  
Business Processes ◽  
Formal Model ◽  
Formal Description ◽  
Object Management Group ◽  
Business Rules ◽  
Business Rule ◽  
Management Group ◽  
Object Management

The Semantics of Business Vocabulary and Rules (SBVR) standard was developed by the Object Management Group (OMG) for business purposes. SBVR is used for transformation of business vocabulary and business rules into business processes. Gateways are used for regulating the divergence and convergence of flow objects in the business process. The existing business rules in SVBR do not support all gateways in BPMN, whereas there are conditions where branching situations in business rules occur. This article introduces parallelism rules (OR rules) and complex rules to increase 50.6% usage of the existing AND rules and XOR rules in SBVR. The main contribution of this research is to introduce new formal model of inclusive gateway (OR) and complex gateway that allow parallelism and branching to be modeled using SBVR. Thus, this study increases coverage of the usage gateway in SBVR achieved 66.7%. The authors provide branching cases with various levels of complexity, i.e. nested conditions and non-free choice conditions, using the formal description of SBVR.

Fuzzy Rule Interpolation

2011 ◽  
pp. 728-733 ◽  
Author(s):  
Szilveszter Kovács
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Rule ◽  
Fuzzy Reasoning ◽  
Fuzzy Relation ◽  
Rule Base ◽  
Rule Based ◽  
Fuzzy Rule Base ◽  
Current Observation ◽  
Rule Bases ◽  
Takagi Sugeno

The “fuzzy dot” (or fuzzy relation) representation of fuzzy rules in fuzzy rule based systems, in case of classical fuzzy reasoning methods (e.g. the Zadeh-Mamdani- Larsen Compositional Rule of Inference (CRI) (Zadeh, 1973) (Mamdani, 1975) (Larsen, 1980) or the Takagi - Sugeno fuzzy inference (Sugeno, 1985) (Takagi & Sugeno, 1985)), are assuming the completeness of the fuzzy rule base. If there are some rules missing i.e. the rule base is “sparse”, observations may exist which hit no rule in the rule base and therefore no conclusion can be obtained. One way of handling the “fuzzy dot” knowledge representation in case of sparse fuzzy rule bases is the application of the Fuzzy Rule Interpolation (FRI) methods, where the derivable rules are deliberately missing. Since FRI methods can provide reasonable (interpolated) conclusions even if none of the existing rules fires under the current observation. From the beginning of 1990s numerous FRI methods have been proposed. The main goal of this article is to give a brief but comprehensive introduction to the existing FRI methods.

scholarly journals Business rules specification and business processes modeling

2009 ◽  
Vol 55 (No. 1) ◽  
pp. 20-24 ◽  
Author(s):  
I. Rábová
Keyword(s):  
Process Model ◽  
Large Scale ◽  
Business Processes ◽  
System Development ◽  
Entire Body ◽  
Business Rules ◽  
Business Rule ◽  
Policy Document ◽  
Business Policy ◽  
Body Of Knowledge

Up to date business is managed by large-scale different rules that regulate how the business acts and how it is structured. We find the rules in law, regulation, business policy document, procedures manual, system documentation, memoranda etc. These reference resources may provide the specific basis for a rule or offer a background, context or explanation of the business rule. In the recent years, it has been discovered that business rules constitute an entire body of knowledge that has not been adequately addressed in either the analysis or design phases of the information system development. Typically, business rules have been buried in the program code or in the database structures. The article deals with the business rules approach and rule technology and helps to identify the business and technical opportunities they afford to the company. It offers the business process model and its integration with business rules. This approach could provide business analysts with an essential approach to understanding, redesigning and communicating what really happens in the business processes (in agricultural area). It serves to understand the business impact of any change in small and medium-sized organizations. We use the UML notation and its business model extension.

A Framework-Driven Comparison of Automata-Based Tools for Identifying Business Rule Conflicts

2019 ◽  
Vol 29 (03) ◽  
pp. 433-455
Author(s):  
Vitus S. W. Lam
Keyword(s):  
Temporal Logic ◽  
Linear Temporal Logic ◽  
Process Models ◽  
Business Rules ◽  
Business Rule ◽  
Business Process Models ◽  
Formal Framework ◽  
Automated Tools ◽  
Büchi Automaton

Drawing on business rules for constructing business process models by a constraint-driven methodology is a distinct characteristic of declarative process modeling. Given the intricacies of business rules, there is a pragmatic need to conduct conflict-free assessments for business rules in an automatic manner. In this paper, business rules are stated in terms of restricted English by harnessing a group of predefined business rule templates. With linear temporal logic that serves as a semantic foundation for the business rule templates, a pair of business rules represented as a linear temporal logic specification is translated into an associated Büchi automaton via LTL2BA, LTL3BA and ltl2tgba. A Büchi automaton that accepts the empty language signifies that the two business rules are in conflict with each other. The suitability of the formal framework and the three automated tools is evaluated by an industry-level case study.

Ontology-Driven Business Rule Specification

2013 ◽  
Vol 27 (1) ◽  
pp. 79-104 ◽  
Author(s):  
Frederik Gailly ◽  
Guido L. Geerts
Keyword(s):  
Knowledge Base ◽  
Semantic Annotation ◽  
Domain Ontology ◽  
Business Rules ◽  
Business Rule ◽  
Rich Domain ◽  
Novel Approach ◽  
Enterprise Model ◽  
New Business ◽  
Enterprise Ontology

ABSTRACT Discovering business rules is a complex task for which many approaches have been proposed including analysis, extraction from code, and data mining. In this paper, a novel approach is presented in which business rules for an enterprise model are generated based on the semantics of a domain ontology. Starting from an enterprise model for which the business rules need to be defined, the approach consists of four steps: (1) classification of the enterprise model in terms of the domain ontology (semantic annotation), (2) matching of the enterprise model constructs with ontology-based Enterprise Model Configurations (EMCs), (3) determination of Business Rule Patterns (BRPs) associated with the EMCs, and (4) use of the semantic annotations to instantiate the business rule patterns; that is, to specify the actual business rules. The success of this approach depends on two factors: (1) the existence of a semantically rich domain ontology, and (2) the strength of the knowledge base consisting of EMC-BRP associations. The focus of this paper is on defining and illustrating the new business rule discovery approach: Ontology-Driven Business Rule Specification (ODBRS). The domain of interest is enterprise systems, and an extended version of the Resource-Event-Agent Enterprise Ontology (REA-EO) is used as the domain ontology. A small set of EMC-BRP associations—i.e., an example knowledge base—is developed for illustration purposes. The new approach is demonstrated with an example.

SYMBIOTIC EVOLUTION OF RULE BASED CLASSIFIER SYSTEMS

2009 ◽  
Vol 18 (01) ◽  
pp. 1-16 ◽  
Author(s):  
RAMIN HALAVATI ◽  
SAEED BAGHERI SHOURAKI ◽  
SIMA LOTFI ◽  
POOYA ESFANDIAR
Keyword(s):  
Genetic Algorithm ◽  
Rule Base ◽  
Classifier Systems ◽  
Classification Rate ◽  
Rule Based ◽  
Sexual Recombination ◽  
Number Of Genes ◽  
Rule Sets ◽  
Rule Based Classifier ◽  
Rule Bases

Evolutionary Algorithms are vastly used in development of rule based classifier systems in data mining where the rule base is usually a set of If-Then rules and an evolutionary trait develops and optimizes these rules. Genetic Algorithm is usually a favorite solution for such tasks as it globally searches for good rule-sets without any prior bias or greedy force, but it is usually slow. Also, designing a good genetic algorithm for rule base evolution requires the design of a recombination operator that merges two rule bases without disrupting the functionalities of each of them. To overcome the speed problem and the need to design recombination operator, this paper presents a novel algorithm for rule base evolution based on natural process of symbiogenesis. The algorithm uses symbiotic combination operator instead of traditional sexual recombination operator of genetic algorithms. This operator takes two chromosomes with different number of genes (rules here) and merges them by combining all the information content of both chromosomes. Using this operator results in two major advantages: First, it totally removes the need to design the recombination operator and therefore is easier to use; second, it outperforms traditional genetic algorithm both in emergence speed and classification rate, this is tested and presented on some globally used benchmarks.

scholarly journals Analyze and Evaluate the Performance Velocity Control in DC Motor

2020 ◽  
Vol 12 (4) ◽  
pp. 507-516
Author(s):  
Hazim M. Alkargole ◽  
◽  
Abbas S. Hassan ◽  
Raoof T. Hussein ◽  
◽  
...  
Keyword(s):  
Fuzzy Logic Controller ◽  
Linear Quadratic Regulator ◽  
Dc Motor ◽  
Rule Base ◽  
Velocity Control ◽  
Linear Quadratic ◽  
Proportional Integral ◽  
Motor Controller ◽  
Different Types ◽  
Rule Bases

A mathematical model of controlling the DC motor has been applied in this paper. There are many and different types of controllers have been used with purpose of analyzing and evaluating the performance of the of DC motor which are, Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Fuzzy Proportional Derivative (FPD) ,Proportional Integral Derivative (PID), Fuzzy Proportional Derivative with integral (FPD plus I) , and Fuzzy Proportional Integral (FPI) with membership functions of 3*3, 5*5, and 7*7 rule bases. The results show that the (FLC) controller with 5*5 rule base provides the best results among all the other controllers to design the DC motor controller.

scholarly journals Optimal Adjustment of Fuzzy Controller Based Evolutionary Algorithms For Driving Electric Motor with Computer Interface

2020 ◽  
Author(s):  
mehmet bulut
Keyword(s):  
Evolutionary Algorithms ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Rule Base ◽  
Learning Stage ◽  
Interface Circuit ◽  
Termination Criteria ◽  
Optimum Parameters ◽  
Optimal Adjustment ◽  
Rule Bases

This study focused on the development of a system based on evolutionary Algorithms to obtain the optimum parameters of the fuzzy controller to increase the convergence speed and accuracy of the controller. The aim of the study is to design fuzzy controller without expert’s knowledge by using evolutionary genetic algorithms and carry out on a DC motor. The design is based on optimization of rule bases of fuzzy controller. In the learning stage, the obtained rule base fitness values are measured by working the rule base on the controller. The learning stage is repeated the termination criteria. The proposed fuzzy controller is performed on the dc motor from a PC program using a interface circuit.

scholarly journals Optimal Adjustment of Fuzzy Controller Based Evolutionary Algorithms For Driving Electric Motor with Computer Interface

2020 ◽  
Author(s):  
mehmet bulut
Keyword(s):  
Evolutionary Algorithms ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Rule Base ◽  
Learning Stage ◽  
Interface Circuit ◽  
Termination Criteria ◽  
Optimum Parameters ◽  
Optimal Adjustment ◽  
Rule Bases

This study focused on the development of a system based on evolutionary Algorithms to obtain the optimum parameters of the fuzzy controller to increase the convergence speed and accuracy of the controller. The aim of the study is to design fuzzy controller without expert’s knowledge by using evolutionary genetic algorithms and carry out on a DC motor. The design is based on optimization of rule bases of fuzzy controller. In the learning stage, the obtained rule base fitness values are measured by working the rule base on the controller. The learning stage is repeated the termination criteria. The proposed fuzzy controller is performed on the dc motor from a PC program using a interface circuit.

Sign in / Sign up

Export Citation Format

Share Document