A comparison of fuzzy strategies for corporate acquisition analysis

C Glackin; LP Maguire; R McIvor; P Humphreys; P Herman

doi:10.1016/j.fss.2007.03.020

A comparison of fuzzy strategies for corporate acquisition analysis

C Glackin, LP Maguire, R McIvor, P Humphreys, P Herman

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2039-2056
Journal	Fuzzy Sets and Systems
Volume	158
Issue number	18
DOIs	https://doi.org/10.1016/j.fss.2007.03.020
Publication status	Published - 16 Sep 2007

Bibliographical note

Other Details
------------------------------------
This paper represents the culmination of two years' collaborative research with colleagues in the Faculty of Business and Management following the provision of targeted research strategy funding from the University. The paper presents a thorough investigation into the suitability of Fuzzy Logic Systems (FLS) for acquisition analysis. Additionally, a new type-2 FLS is developed that facilitates the inclusion of the opinions of multiple experts. The simulation results have demonstrated the reliable ranking of prospective companies. The success of this research has instigated further collaborative research to investigate the optimisation of the supply chain management process.

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10.1016/j.fss.2007.03.020

Cite this

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title = "A comparison of fuzzy strategies for corporate acquisition analysis",

author = "C Glackin and LP Maguire and R McIvor and P Humphreys and P Herman",

note = "Other Details ------------------------------------ This paper represents the culmination of two years' collaborative research with colleagues in the Faculty of Business and Management following the provision of targeted research strategy funding from the University. The paper presents a thorough investigation into the suitability of Fuzzy Logic Systems (FLS) for acquisition analysis. Additionally, a new type-2 FLS is developed that facilitates the inclusion of the opinions of multiple experts. The simulation results have demonstrated the reliable ranking of prospective companies. The success of this research has instigated further collaborative research to investigate the optimisation of the supply chain management process.",

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AU - McIvor, R

AU - Humphreys, P

AU - Herman, P

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