International Journal of Industrial Optimization (IJIO)
Vol. 7 No. 2 (2026) [IN PRESS]

Decision support for sustainable household waste processing: a comparative evaluation of ahp and fuzzy ahp

Muhammad Faishal (Universitas Ahmad Dahlan)
Hayati Mukti Asih (Universitas Ahmad Dahlan)
Endah Utami (Universitas Ahmad Dahlan)
Effendi Mohamad (Universiti Teknikal Malaysia Melaka)



Article Info

Publish Date
24 Aug 2026

Abstract

Urban household waste management in developing countries faces increasing complexity due to population growth, land constraints, and socio-environmental considerations. This study proposes a comparative evaluation of the Analytic Hierarchy Process (AHP) and Fuzzy AHP to support decision-making in selecting sustainable household waste treatment alternatives in Umbulharjo Sub-district, Yogyakarta City, Indonesia. Five sustainability criteria and five alternative treatment methods were identified through expert consultation and literature review. Primary data were collected from 20 household respondents using structured questionnaires. The AHP method applied a crisp pairwise comparison scale, while Fuzzy AHP incorporated linguistic assessments converted into Triangular Fuzzy Numbers to better handle uncertainty and subjectivity. The results demonstrate that while AHP prioritizes the burning method due to perceived simplicity and feasibility, Fuzzy AHP reveals a stronger preference for “Sorting, Hoarding, and Selling,” reflecting the community’s implicit environmental and economic concerns. The divergence in outcomes highlights the limitations of deterministic assessments in complex socio-technical systems and underscores the added value of fuzzy logic in capturing nuanced stakeholder preferences. By integrating quantitative and qualitative criteria within a hierarchical decision framework, this study contributes to the development of more context-sensitive and adaptive decision-support tools. The findings offer practical guidance for municipal authorities and urban planners seeking to align waste management strategies with cleaner production principles. The proposed methodological framework enhances transparency, inclusiveness, and responsiveness in sustainability assessments, supporting the transition toward more resilient and community-driven urban waste systems.

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Journal Info

Abbrev

ijio

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The Journal invites original articles and not simultaneously submitted to another journal or conference. The whole spectrums of Industrial Engineering are welcome but are not limited to Metaheuristics, Simulation, Design of Experiment, Data Mining, and Production System. 1. Metaheuristics: ...