Optimizing Accuracy In Decision Making Using Evolutionary Computing: Decision Support System: Analytic Hierarchy Process using Evolutionary Computing - Couverture souple

Zakaria, Nur Farha; Mohamed Dahlan, Halina; Che Hussin, Ab. Razak

 
9783659216312: Optimizing Accuracy In Decision Making Using Evolutionary Computing: Decision Support System: Analytic Hierarchy Process using Evolutionary Computing
Couverture souple
ISBN 10 : 3659216313 ISBN 13 : 9783659216312
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Analytic Hierarchy Process (AHP) is one of the methods in Decision Support Systems (DSS). AHP has been criticized mainly for its priority deviation method, which is one of AHP’s main components. The priority derivation method, also referred to as prioritization method, is used to derive priorities in order to represent the rank of alternatives in AHP. There are two approaches to derive priorities in AHP, which are non-optimization approach and optimization approach. However, this study found three main problems in the current prioritization methods which are inconsistency of the judgment, non-evolutionary computing approach, and accuracy performance of the prioritization method. In solving these problems, this study proposed Evolutionary Computing Procedure for Deriving Priorities (ECPDP). The ECPDP is an EC-based procedure and derives priorities by solving single objective optimization problem (SOP) through maximizing the accuracy of the solution, by using Total Deviation (TD) as an objective function. The result by using ECPDP is more promising as opposed to the other prioritization methods in terms of TD value.

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Présentation de l'éditeur

Analytic Hierarchy Process (AHP) is one of the methods in Decision Support Systems (DSS). AHP has been criticized mainly for its priority deviation method, which is one of AHP’s main components. The priority derivation method, also referred to as prioritization method, is used to derive priorities in order to represent the rank of alternatives in AHP. There are two approaches to derive priorities in AHP, which are non-optimization approach and optimization approach. However, this study found three main problems in the current prioritization methods which are inconsistency of the judgment, non-evolutionary computing approach, and accuracy performance of the prioritization method. In solving these problems, this study proposed Evolutionary Computing Procedure for Deriving Priorities (ECPDP). The ECPDP is an EC-based procedure and derives priorities by solving single objective optimization problem (SOP) through maximizing the accuracy of the solution, by using Total Deviation (TD) as an objective function. The result by using ECPDP is more promising as opposed to the other prioritization methods in terms of TD value.

Biographie de l'auteur

Nur Farha Zakaria obtained her Master degree in Computer Science (MSc) in year 2010 from UTM Skudai, Malaysia. Currently working on research concerning on Management Information System and Decision Making for her PhD. She work as IT Officer in government hospital in Malaysia. She is the author of several articles published in journal and conference

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659216313
ISBN 13 
9783659216312
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
Personne responsable
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