Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning
By Razieh Mosadeghi, Jan Warnken, Rodger Tomlinson, Hamid Mirfenderesk. Computers, Environment and Urban Systems, 2015
379 citations recorded by the source corpus.
Modern planning theories encourage approaches that consider all stakeholders with a variety of discourse values to avoid political and manipulative decisions. In the last decade, application of quantitative approaches such as multi-criteria decision making techniques in land suitability procedures has increased, which allows handling heterogeneous data. The majority of these applications mainly used decision-making techniques to rank the priority of predefined management options or planning scenarios. The presented study, however, shows how spatial decision-making can be used not only to rank the priority of options and performing scenario analysis, but also to provide insight into the spatial extent of the alternatives. This is particularly helpful in situation where political transitions in regard to urban planning policies leave local decision-makers with considerable room for discretion. To achieve this, the study compares the results of two quantitative techniques (analytical hierarchy procedure (AHP) and Fuzzy AHP) in defining the extent of land-use zones at a large scale urban planning scenario. The presented approach also adds a new dimension to the comparative analysis of applying these techniques in urban planning by considering the scale and purpose of the decision-making. The result demonstrates that in the early stage of the planning process, when identifying development options as a focal point is required, simplified methods can be sufficient. In this situation, selecting more sophisticated techniques will not necessarily generate different outcomes. However, when planning requires identifying the spatial extent of the preferred development area, considering the intersection area suggested by both methods will be ideal.
Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/be1b795cac14a47ea030ebdab9e2543d8d7d8d1a
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In Global and Planetary Change
In Management, Monitoring, Policy and Law
In Management Science and Operations Research
- Abbas Mardani
- Ahmad Jusoh
- Norhayati Zakuan
- Edmundas Kazimieras Zavadskas
- Khalil Md Nor
- Z. Khalifah
- Fereydoon Sarmadian
- Mohammad Ali Ghorbani
Citations in the corpus
- A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 (2017, background): “Distribution of papers based on land management Modern planning theories inspire methods which reflect all investors and their diversity of discourse standards for avoiding political as well as scheming judgements [171].”
- Groundwater quality appraisal by improved set pair analysis with game theory weightage and health risk estimation of contaminants for Xuecha drinking water source in a loess area in Northwest China (2019, background): “The most important thing in this step is to construct the judgment matrix D as per the following procedures (Mosadeghi et al. 2015).”
- Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, methodology): “…Fuzzy set theory and Random set theory provide more sophisticated algorithms to process uncertain or inaccurate data (Zhang and Achari, 2010; Mosadeghi et al., 2015; Nguyen et al., 2015; Prakash and Barua, 2015; Wang, 2015; He et al., 2016; Kaliszewski and Podkopaev, 2016; Montgomery et…”