UPM Institutional Repository

Development of a protocol for Malaysian Important Plant Areas criterion weights using Multi-criteria Decision Making - Analytical Hierarchy Process (MCDM-AHP)


Citation

Hamidah, M. and Mohd Hasmadi, I. and Chua, L. S. L. and Yong, W. S. Y. and Lau, K. H. and I., Faridah Hanum and Pakhriazad, H. Z. (2022) Development of a protocol for Malaysian Important Plant Areas criterion weights using Multi-criteria Decision Making - Analytical Hierarchy Process (MCDM-AHP). Global Ecology and Conservation, 34. art. no. e02033. pp. 1-10. ISSN 2351-9894

Abstract

Globally, in the selection of potential Important Plant Areas (IPAs), the preferred method used is scoring method because of its simplicity and ease of evaluation. However, the criterion weights developed from this method are vague and suffer from judgement uncertainties. In this study, we developed and propose a methodology for the assessment of Malaysian IPA criterion weights using Multi-Criteria Decision Making (MCDM) - Analytical Hierarchy Process (AHP). The criterion weights were assessed from data obtained through questionnaire surveys of Malaysian biodiversity experts. As a result, threatened habitats are given the highest score (0.337), followed by threatened species (0.327), endemism (0.245), and botanical richness (0.091). This study, therefore, proposes the MCDM-AHP as a decision-making tool for prioritising and formulating criterion weights for Malaysian IPA.


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry and Environment
Institute of Ecosystem Science Borneo
DOI Number: https://doi.org/10.1016/j.gecco.2022.e02033
Publisher: Elsevier
Keywords: Important Plant Areas (IPAs); Tropical IPA (TIPA); Multi-Criteria Decision Making (MCDM); Analytical Hierarchy Process (AHP); Group decision-making; Malaysia
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 09 Oct 2023 18:41
Last Modified: 09 Oct 2023 18:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.gecco.2022.e02033
URI: http://psasir.upm.edu.my/id/eprint/100600
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item