Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection

Kevin Kam Fung Yuen

doi:10.1109/DeSE.2016.37

Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection

Kevin Kam Fung Yuen

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

Abstract

Pairwise comparison is a popular method for decision making. Analytic Hierarchy Process (AHP) is based on pairwise comparison (PC), which the rating results of PC forms pairwise reciprocal matrices (PRM) further to be derived as the priority values by the Eigen method. Prioritization method using Eigen method is still open to discuss, although many applications using this method in AHP have been made. This study proposes the Canonical Particle Swarm Optimized Direct Least Squares Prioritization (CPSO-DLSP) method for deriving the priority values from a PRM. The direct least squares function leads to the least total square variance between ground PRM and the derived priority values. The Canonical Particle Swarm Optimization (CPSO) algorithm is one of the promising methods to effectively solve the direct least squares optimization problem. An application of mutual fund selection using the conventional AHP method is revised and demonstrated by the proposed method.

Original language	English
Title of host publication	Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	228-232
Number of pages	5
ISBN (Electronic)	9781509054879
DOIs	https://doi.org/10.1109/DeSE.2016.37
Publication status	Published - 17 May 2017
Externally published	Yes
Event	International Conference on Developments in eSystems Engineering, DeSE 2016 - Liverpool, United Kingdom Duration: 31 Aug 2016 → 2 Sept 2016 Conference number: 9th

Conference

Conference	International Conference on Developments in eSystems Engineering, DeSE 2016
Abbreviated title	DeSE 2016
Country/Territory	United Kingdom
City	Liverpool
Period	31/08/16 → 2/09/16

Keywords

Analytic Hierarchy Process
Mutual Fund Selection
Pairwise comparisons
Particle Swarm Optimization
Prioritization

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10.1109/DeSE.2016.37

Cite this

Yuen, K. K. F. (2017). Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection. In Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016 (pp. 228-232). Article 7930652 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DeSE.2016.37

Yuen, Kevin Kam Fung. / Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison : An Application of Mutual Fund Selection. Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 228-232

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title = "Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection",

abstract = "Pairwise comparison is a popular method for decision making. Analytic Hierarchy Process (AHP) is based on pairwise comparison (PC), which the rating results of PC forms pairwise reciprocal matrices (PRM) further to be derived as the priority values by the Eigen method. Prioritization method using Eigen method is still open to discuss, although many applications using this method in AHP have been made. This study proposes the Canonical Particle Swarm Optimized Direct Least Squares Prioritization (CPSO-DLSP) method for deriving the priority values from a PRM. The direct least squares function leads to the least total square variance between ground PRM and the derived priority values. The Canonical Particle Swarm Optimization (CPSO) algorithm is one of the promising methods to effectively solve the direct least squares optimization problem. An application of mutual fund selection using the conventional AHP method is revised and demonstrated by the proposed method.",

keywords = "Analytic Hierarchy Process, Mutual Fund Selection, Pairwise comparisons, Particle Swarm Optimization, Prioritization",

author = "Yuen, \{Kevin Kam Fung\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; International Conference on Developments in eSystems Engineering, DeSE 2016, DeSE 2016 ; Conference date: 31-08-2016 Through 02-09-2016",

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doi = "10.1109/DeSE.2016.37",

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Yuen, KKF 2017, Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection. in Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016., 7930652, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 228-232, International Conference on Developments in eSystems Engineering, DeSE 2016, Liverpool, United Kingdom, 31/08/16. https://doi.org/10.1109/DeSE.2016.37

Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection. / Yuen, Kevin Kam Fung.
Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 228-232 7930652.

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

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T1 - Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison

T2 - International Conference on Developments in eSystems Engineering, DeSE 2016

AU - Yuen, Kevin Kam Fung

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PY - 2017/5/17

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Yuen KKF. Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection. In Proceedings - 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 228-232. 7930652 doi: 10.1109/DeSE.2016.37

Towards a Canonical Particle Swarm Optimized Direct Least Squares Prioritization Method for Ratio Pairwise Comparison: An Application of Mutual Fund Selection

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