INNOVATOR

An expert system for new product launch decisions

Sudha Ram, Sundaresan Ram

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Expert systems have become an increasingly important area of research for marketing academicians and practitioners. This paper describes an expert system called INNOVATOR that screens new product ideas and provides an approve/reject/reevaluate decision. If desired, the system can explain the logical reasoning it used to arrive at the decision. INNOVATOR uses a rule base consisting of regular IF and fuzzy IF rules and a backward chaining strategy to make recommendations. The paper explains the knowledge (expertise) requirements of the system, as well as the knowledge elicitation process and the knowledge representation scheme. The system has been implemented on an IBM 4381 using a shell called Expert System Environment (ESE). INNOVATOR, in its current form, assists consultants in financial service organizations in deciding whether to offer specific product innovations to their customers. The system is operational and has been validated by comparing its decisions with those of experts in the field.

Original languageEnglish (US)
Pages (from-to)129-148
Number of pages20
JournalApplied Artificial Intelligence
Volume2
Issue number2
StatePublished - 1988

Fingerprint

Expert systems
Knowledge acquisition
Knowledge representation
Marketing
Innovation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

INNOVATOR : An expert system for new product launch decisions. / Ram, Sudha; Ram, Sundaresan.

In: Applied Artificial Intelligence, Vol. 2, No. 2, 1988, p. 129-148.

Research output: Contribution to journalArticle

@article{af1c037970864660beb3315d759ceb01,
title = "INNOVATOR: An expert system for new product launch decisions",
abstract = "Expert systems have become an increasingly important area of research for marketing academicians and practitioners. This paper describes an expert system called INNOVATOR that screens new product ideas and provides an approve/reject/reevaluate decision. If desired, the system can explain the logical reasoning it used to arrive at the decision. INNOVATOR uses a rule base consisting of regular IF and fuzzy IF rules and a backward chaining strategy to make recommendations. The paper explains the knowledge (expertise) requirements of the system, as well as the knowledge elicitation process and the knowledge representation scheme. The system has been implemented on an IBM 4381 using a shell called Expert System Environment (ESE). INNOVATOR, in its current form, assists consultants in financial service organizations in deciding whether to offer specific product innovations to their customers. The system is operational and has been validated by comparing its decisions with those of experts in the field.",
author = "Sudha Ram and Sundaresan Ram",
year = "1988",
language = "English (US)",
volume = "2",
pages = "129--148",
journal = "Applied Artificial Intelligence",
issn = "0883-9514",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - INNOVATOR

T2 - An expert system for new product launch decisions

AU - Ram, Sudha

AU - Ram, Sundaresan

PY - 1988

Y1 - 1988

N2 - Expert systems have become an increasingly important area of research for marketing academicians and practitioners. This paper describes an expert system called INNOVATOR that screens new product ideas and provides an approve/reject/reevaluate decision. If desired, the system can explain the logical reasoning it used to arrive at the decision. INNOVATOR uses a rule base consisting of regular IF and fuzzy IF rules and a backward chaining strategy to make recommendations. The paper explains the knowledge (expertise) requirements of the system, as well as the knowledge elicitation process and the knowledge representation scheme. The system has been implemented on an IBM 4381 using a shell called Expert System Environment (ESE). INNOVATOR, in its current form, assists consultants in financial service organizations in deciding whether to offer specific product innovations to their customers. The system is operational and has been validated by comparing its decisions with those of experts in the field.

AB - Expert systems have become an increasingly important area of research for marketing academicians and practitioners. This paper describes an expert system called INNOVATOR that screens new product ideas and provides an approve/reject/reevaluate decision. If desired, the system can explain the logical reasoning it used to arrive at the decision. INNOVATOR uses a rule base consisting of regular IF and fuzzy IF rules and a backward chaining strategy to make recommendations. The paper explains the knowledge (expertise) requirements of the system, as well as the knowledge elicitation process and the knowledge representation scheme. The system has been implemented on an IBM 4381 using a shell called Expert System Environment (ESE). INNOVATOR, in its current form, assists consultants in financial service organizations in deciding whether to offer specific product innovations to their customers. The system is operational and has been validated by comparing its decisions with those of experts in the field.

UR - http://www.scopus.com/inward/record.url?scp=0024133980&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024133980&partnerID=8YFLogxK

M3 - Article

VL - 2

SP - 129

EP - 148

JO - Applied Artificial Intelligence

JF - Applied Artificial Intelligence

SN - 0883-9514

IS - 2

ER -