S I N A C T I O N 11.9 RULE-BASED SYSTEMS TACKLE EMPLOYEE SHRINK
A I S I N A C T I O N 11.9 RULE-BASED SYSTEMS TACKLE EMPLOYEE SHRINK
Innovative computer-based technologies are taking the One of the products of PLATINUM Technologies
battle against employee-related shrink (theft) to a (the parent company) is AionDS, which models and higher level. Several new applications are aimed at encapsulates retailers' business policy logic into rules, identifying dishonest personnel, who account for an Fijat explains. Each rule defines a premise and one or estimated 38 percent of retail shrink, as well as those
more resulting actions. Rules can be expressed in easy- who may simply be making errors at the point of sale.
to-understand, English-like language; this makes it eas- PLATINUM Solutions offers a rule-based system
ier for loss-prevention executives to communicate sys- that targets employee theft at the retailer's point of sale.
tem requirements to those developing rule-based
"The rules are interrelated statements or business poli- software, thus leading to more effective knowledge rep- cies governing what is allowed and what is not allowed,"
resentation and acquisition.
explains Carl Fijat, a management consultant with AionDS, and rule-based software in general, is par- PLATINUM Solutions.
ticularly valuable in isolating patterns not discernible Rule-based software can help retailers find fraud
from reading exception reports. For example, if an
patterns by collecting and storing information about employee authorizes a legitimate cash sale, signs off, incidents occurring at the point of sale and classifying then signs on under someone else's identification num- them according to the policies expressed as knowledge ber to refund the immediate sale, and then signs back in the program. For example, it can be programmed to on again as himself or herself, the system can use a rule
post "self-ringing employee" alerts when employees
to track such fraudulent activity.
ring up returns for themselves. "Excessive credit to pur-
chases" is posted when a staff member processes pur- Source: Modified and condensed from J. R. Ross, "New Rule- chases whose value exceeds a certain limit and the Based Systems Tackle Employee Shrink," Stores, Vol. 78, account being credited is labeled "in-house."
No. 8, August 1996, pp. 71-72.
T h e m a j o r l i m i t a t i o n s o f r u l e r e p r e s e n t a t i o n a r e a s follows:
• C o m p l e x knowledge requires thousands of ruics. which may create difficul-
ties in using and maintaining Ihe system. • Builders like rules, so they try to force all k n o w l e d g e inlo rules rather than
look for more appropriate representations. • Systems with many rules may have a search limitation in the control pro- gram. S o m e piograms have difficulty in evaluating rule-based systems and
making inferences.
T a b l e 11.8 lists t h e m a j o r c h a r a c t e r i s t i c s of rules.
Parts
» Decision Support System And Intelligent System 7th Edition Turban Aronson Liang 2005
» DECISION -MAKING: THE INTELLIGENCE PHASE
» DECISION-MAKING: THE CHOICE PHASE
» SUPPORT FOR THE I N T E L L I G E N C E P H A S E
» OPENING VIGNETTE: DUPONT SIMULATES RAIL TRANSPORTATION SYSTEM AND AVOIDS COSTLY CAPITAL EXPENSE 1
» CERTAINTY, UNCERTAINTY, AND RISK 3
» MSS MODELING WITH SPREADSHEETS
» THE NATURE AND SOURCES OF DATA
» THE WEB/INTERNET AND COMMERCIAL DATABASE SERVICES
» DATABASE MANAGEMENT SYSTEMS IN DECISION SUPPORT SYSTEMS/BUSINESS INTELLIGENCE
» BUSINESS INTELLIGENCE/BUSINESS ANALYTICS
» Repeat steps 3 to 5 until you have reached the pre- specified maximum number of clusters.
» INTRODUCTION TO DSS DEVELOPMENT
» THE TRADITIONAL SYSTEM DEVELOPMENT LIFE CYCLE
» Obtaining executive-level buy-in. • Correctly estimate how difficult or complex a pro-
» PROTOTYPING: THE DSS DEVELOPMENT METHODOLOGY
» N A C T I O N 6.19 USER INVOLVEMENT IS CRITICAL IN SYSTEMS IMPLEMENTATION
» The four cells are organized along the two dimensions of time and place.
» Make money (sell your courseware)
» CREATIVITY AND IDEA GENERATION CREATIVITY
» EXECUTIVES' ROLES AND INFORMATION NEEDS
» SOFT INFORMATION IN ENTERPRISE SYSTEMS
» SUPPLY AND VALUE CHAINS AND DECISION SUPPORT
» SUPPLY CHAIN PROBLEMS AND SOLUTIONS INTRODUCTION
» CUSTOMER RELATIONSHIP (RESOURCE) MANAGEMENT (CRM) SYSTEMS
» BEST THINGS YOU CAN DO WITH YOUR DATA
» FRONTLINE DECISION SUPPORT SYSTEMS
» THE FUTURE OF EXECUTIVE AND ENTERPRISE INFORMATION SYSTEMS 2
» APPROACHES TO KNOWLEDGE MANAGEMENT THE PROCESS APPROACH
» EVOLUTION OF ARTIFICIAL INTELLIGENCE
» THE ARTIFICIAL INTELLIGENCE FIELD
» PROBLEM AREAS SUITABLE FOR EXPERT SYSTEMS
» KNOWLEDGE ACQUISITION FROM MULTIPLE EXPERTS
» KNOWLEDGE VERIFICATION AND VALIDATION
» S I N A C T I O N 11.9 RULE-BASED SYSTEMS TACKLE EMPLOYEE SHRINK
» Search the Internet to find a knowledge-acquisition development of Web-based expert systems. How
» BASIC CONCEPT OF NEURAL COMPUTING
» DEVELOPING NEURAL NETWORK-BASED SYSTEMS
» DEVELOPING GENETIC ALGORITHM APPLICATIONS
» DEVELOPING INTEGRATED ADVANCED SYSTEMS
» X 2 . Again, how well did this work? Plot your
» OPENING VIGNETTE: SPARTAN USES INTELLIGENT SYSTEMS TO FIND THE RIGHT PERSON AND REDUCE TURNOVER
» WEB-BASED INTELLIGENT SYSTEMS
» INTELLIGENT AGENTS: AN OVERVIEW
» M-COMMERCE, L-COMMERCE, AND PERVASIVE COMPUTING
» OPENING VIGNETTE: ELITE CARE SUPPORTED BY INTELLIGENT SYSTEMS
» THE IMPACTS OF MSS: AN OVERVIEW
» DECISION-MAKING AND THE MANAGER'S JOB
» ISSUES OF LEGALITY, PRIVACY, AND ETHICS
» INTELLIGENT SYSTEMS AND EMPLOYMENT LEVELS
» Rosati. (2001, September). "Data Integration in Celik, M. (2001, July). "Catching Up with Expert
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