The document discusses the use of expert systems in enhancing security within the hotel industry in Satara taluka, defining expert systems as AI-driven programs that simulate human expertise to solve complex problems. It outlines the essential features, architecture, and application of expert systems, emphasizing benefits like improved decision-making and security provisions. The conclusion highlights the necessity for hotels to adopt such systems to mitigate risks and boost business opportunities.

1. Tembe Omkar Suhas
M.B.A - II
K.B.P.I.M.S.R , Satara
Use of Expert Systems for Security of
Hotel Industry in Satara Taluka –
Concept and Architecture

2.  Definitions of Expert System :
• Expert System (ES) is a branch of Artificial Intelligence that
attempt to copy human experts. Expert systems can either
support decision makers or completely replace them.
• “An intelligent computer program that uses knowledge and
inference procedures to solve problems that are difficult
enough to require significant human expertise for their
solution.“ - Prof. Edward Feigenbaum , Stanford University.
• Expert Systems are those that add the elements of Artificial
Intelligence to classic Decision Support Systems.(Wholesapple and
Whinston 1996).

3.  Concept of Expert System :
• Expert Systems are Computer Systems that use specialized
knowledge to achieve high performance decisions in a
particular area. (Turban, Sharda and Delen 2011,542)
• Expert System = Knowledge Based System
• Intelligent Automation
• Expert System = Knowledge Base + Inference Engine

4. • With the help of Expert System, expert knowledge is made
accessible to non experts.
• Expert Systems are knowledge-based systems that provide
expert advice and act as expert consultants to the users.
• Expert systems are designed to solve complex problems by
reasoning about knowledge, represented primarily as if–
then rules rather than through conventional procedural code.
• Expert systems rely on huge, detailed databases (knowledge
bases).
• Knowledge base is clearly separated from the processing
(inference) mechanism (knowledge rules are separated from
the control)

5.  Features of Expert System :
1) Program may make mistakes
2) It explains the reasons.
3) The system can operate with only a few rules (as a first prototype)
4) Execution is done by using heuristics and logic
5) Can operate with incomplete or uncertain information
6) Effective manipulation of large knowledge bases
7) Easily deals with qualitative data

6.  Steps used in Expert System :
• Knowledge Acquisition – Knowledge Representation
– Knowledge Interfacing – Knowledge Transfer

7.  Architecture of Expert System :
Expert System = Knowledge Base + Interface Engine

8.  Type of research :
1)Conceptual
2)Qualitative
 Tools Used :
1)Observation
2)Secondary Data (Concepts and Definition)

9.  Hotel Industry in Satara Taluka :
• Number of Hotels in Satara :
More than 70
• Security Provisions :
1) CCTV
2) Fire Extinguisher
3) Manual Identity Check

10. Face Recognition System
Thumb Impression System
Motion Recognition System
Voice Recognition System
Smoke – Fire – Water Level
Detector System
Central DB
(Isolated, Cloud
based)
Ambulance
Local Police Station
GPS
Cell Phone (To Tack Location
and get IP Address)
Fire Brigade
Conceptual Architecture of implementation of Expert
Systems for Security of Hotel Industry
C
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11. • Use of shared Knowledge
• Central Database
• Infrastructure can be reduced and shared
• Wireless
• Less Response Time
• Accurate Decision Making
 Application :
MI 5 (Mission Impossible 5) Mickey Virus
 Benefits of use of Expert System :

12.  Limitations :
1)Economic Feasibility is not tasted.
2)Lack of Basic Infrastructure

13.  Conclusion :
Being part of complex world and increasing possibilities of
different types of risks like Terrorist attacks, Natural
Calamities, etc., the hotel industry should use Expert Systems
as much as possible. Implementation of these systems will
enhance the security , accuracy, correctness of decisions and
will ultimately result into increased business opportunities.

14. [1] Efraim Turban and Jay E. Aronson (2001), Decision
Support systems and intelligent systems, Prentice Hall, New
Delhi.
[2] Luger GF, Stubblefield WA, (1989), Artificial intelligence
and the Design of Expert Systems, CA Benjamin/Cummings
Pub. Co.
 References :

15. Thank you !!!