In this paper we apply multiattribute value theory as a framework for examining the use of pairwise comparisons in the analytic hierarchy process (AHP). On one hand our analysis indicates that pairwise comparisons should be understood in terms of preference differences between pairs of alternatives.
A note on the use of the analytic hierarchy process for environmental impact assessment
✍ Scribed by R. Ramanathan
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 126 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0301-4797
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✦ Synopsis
Environmental impact assessment (EIA) is an intrinsically complex multi-dimensional process, involving multiple criteria and multiple actors. Multi-criteria methods can serve as useful decision aids for carrying out the EIA. This paper proposes the use of a multi-criteria technique, namely the analytic hierarchy process (AHP), for the purpose. AHP has the flexibility to combine quantitative and qualitative factors, to handle different groups of actors, to combine the opinions expressed by many experts, and can help in stakeholder analysis. The main shortcomings of AHP and some modifications to it to overcome the shortcomings are briefly described. Finally, the use of AHP is illustrated for a case study involving socioeconomic impact assessment. In this case study, AHP has been used for capturing the perceptions of stakeholders on the relative severity of different socio-economic impacts, which will help the authorities in prioritizing their environmental management plan, and can also help in allocating the budget available for mitigating adverse socio-economic impacts.
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## Abstract Multi‐criteria analysis (MCA) is a popular tool in Dutch environmental impact assessment (EIA). This paper provides an overview of the type and complexity of decision problems supported, and the MCA approach selected to analyse these problems. Furthermore, the role of MCA in the decisio
used to derive a partial preference ordering. For two recent methods see Salo and HaÈ maÈ laÈ inen (1992, 1995) and for an overview see Weber (1987). From empirical research we know that subjects are prone to biases. In addition, as pointed out by the authors, verbal expressions used in the AHP migh