Application of fuzzy logic in strategic negotiation mechanism in supply chain management design

Golenur B. Huq; Robyn Lawson

Application of fuzzy logic in strategic negotiation mechanism in supply chain management design

Golenur B. Huq, Robyn Lawson

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

In an uncertain situation, a negotiation strategy is the main issue in binding an agreement. We can measure this strategy by fuzzy logic using linguistic variables, which play a central role because it goes to the heart of the way in which humans perceive, reason and communicate. This paper measures and analyses the negotiation strategy in the Trading Agent Competition Supply Chain Management (TAC SCM) by using possibility theory and a linguistic variable that will aid in binding the agreement to achieve the agent's expected profit.

Original language	English
Title of host publication	Management in Modern Organizations: Trends and Challenges: Proceedings of the 9th Conference of the International Business Information Management Association (IBIMA), held in Marrakech, Morocco, 4-6 January, 2008
Publisher	IBIMA
Number of pages	8
ISBN (Print)	0975339389
Publication status	Published - 2008
Event	International Business Information Management Association. Conference - Duration: 12 Nov 2012 → …

Conference

Conference	International Business Information Management Association. Conference
Period	12/11/12 → …

Keywords

negotiation in business
supply chain management
business logistics
electronic commerce
intelligent agents (computer software)
fuzzy logic

Cite this

@inproceedings{b2b54fdf93cf4d638ffd1480152142e6,

title = "Application of fuzzy logic in strategic negotiation mechanism in supply chain management design",

abstract = "In an uncertain situation, a negotiation strategy is the main issue in binding an agreement. We can measure this strategy by fuzzy logic using linguistic variables, which play a central role because it goes to the heart of the way in which humans perceive, reason and communicate. This paper measures and analyses the negotiation strategy in the Trading Agent Competition Supply Chain Management (TAC SCM) by using possibility theory and a linguistic variable that will aid in binding the agreement to achieve the agent's expected profit.",

keywords = "negotiation in business, supply chain management, business logistics, electronic commerce, intelligent agents (computer software), fuzzy logic",

author = "Huq, {Golenur B.} and Robyn Lawson",

year = "2008",

language = "English",

isbn = "0975339389",

booktitle = "Management in Modern Organizations: Trends and Challenges: Proceedings of the 9th Conference of the International Business Information Management Association (IBIMA), held in Marrakech, Morocco, 4-6 January, 2008",

publisher = "IBIMA",

note = "International Business Information Management Association. Conference ; Conference date: 12-11-2012",

}

Huq, GB & Lawson, R 2008, Application of fuzzy logic in strategic negotiation mechanism in supply chain management design. in Management in Modern Organizations: Trends and Challenges: Proceedings of the 9th Conference of the International Business Information Management Association (IBIMA), held in Marrakech, Morocco, 4-6 January, 2008. IBIMA, International Business Information Management Association. Conference, 12/11/12.

Application of fuzzy logic in strategic negotiation mechanism in supply chain management design. / Huq, Golenur B.; Lawson, Robyn.
Management in Modern Organizations: Trends and Challenges: Proceedings of the 9th Conference of the International Business Information Management Association (IBIMA), held in Marrakech, Morocco, 4-6 January, 2008. IBIMA, 2008.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Application of fuzzy logic in strategic negotiation mechanism in supply chain management design

AU - Huq, Golenur B.

AU - Lawson, Robyn

PY - 2008

Y1 - 2008

N2 - In an uncertain situation, a negotiation strategy is the main issue in binding an agreement. We can measure this strategy by fuzzy logic using linguistic variables, which play a central role because it goes to the heart of the way in which humans perceive, reason and communicate. This paper measures and analyses the negotiation strategy in the Trading Agent Competition Supply Chain Management (TAC SCM) by using possibility theory and a linguistic variable that will aid in binding the agreement to achieve the agent's expected profit.

AB - In an uncertain situation, a negotiation strategy is the main issue in binding an agreement. We can measure this strategy by fuzzy logic using linguistic variables, which play a central role because it goes to the heart of the way in which humans perceive, reason and communicate. This paper measures and analyses the negotiation strategy in the Trading Agent Competition Supply Chain Management (TAC SCM) by using possibility theory and a linguistic variable that will aid in binding the agreement to achieve the agent's expected profit.

KW - negotiation in business

KW - supply chain management

KW - business logistics

KW - electronic commerce

KW - intelligent agents (computer software)

KW - fuzzy logic

UR - http://handle.uws.edu.au:8081/1959.7/45213

M3 - Conference Paper

SN - 0975339389

BT - Management in Modern Organizations: Trends and Challenges: Proceedings of the 9th Conference of the International Business Information Management Association (IBIMA), held in Marrakech, Morocco, 4-6 January, 2008

PB - IBIMA

T2 - International Business Information Management Association. Conference

Y2 - 12 November 2012

ER -

Application of fuzzy logic in strategic negotiation mechanism in supply chain management design

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this