Multi crteria decision making and its applications : a literature review

This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are collected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM

Assessing farmer behaviour as affected by policy and technological innovations: bio-economic farm models

Farm Management,

Integrated Model of Problem Structuring and Multicriteria Group Decision Making for Social Sustainable Development

Many social decisions in the real world are characterized by deep complexity, not only in terms of economic aspects, but also dealing with sustainability policy problems. Indeed, the emphasis to find a solution by representing the situation and its relationships in a decision problem only mathematically, focused simply in restricts views, is not enough. Nowadays, to make a social decision is imperative to promote a group discussion to find a sustainable solution and to input more emotional arguments into the problem. However, although there are several methods of problem structuring (soft OR) and methods to evaluate the problem (hard OR), there are still few works dealing with the integration of these two approaches. This paper proposes a group decision model, integrating tools of problem structuring and multicriteria evaluation. The problem structuring approach is used to facilitate and to share information starting from the participative development, as a way to generate alternative ideas of solution and to improve the learning process among all the involved members. The multicriteria evaluation is used to find a global solution for the problem, incorporating the points of view of all members involved in the decision process. The purpose of this model is to generate a richer and more effective way of handling the problem situation.

A methodology for the generation and evaluation of biorefinery process chains, in order to identify the most promising biorefineries for the EU

The topic of bioenergy, biofuels and bioproducts remains at the top of the current political and research agenda. Identification of the optimum processing routes for biomass, in terms of efficiency, cost, environment and socio-economics is vital as concern grows over the remaining fossil fuel resources, climate change and energy security. It is known that the only renewable way of producing conventional hydrocarbon fuels and organic chemicals is from biomass, but the problem remains of identifying the best product mix and the most efficient way of processing biomass to products. The aim is to move Europe towards a biobased economy and it is widely accepted that biorefineries are key to this development. A methodology was required for the generation and evaluation of biorefinery process chains for converting biomass into one or more valuable products that properly considers performance, cost, environment, socio-economics and other factors that influence the commercial viability of a process. In this thesis a methodology to achieve this objective is described. The completed methodology includes process chain generation, process modelling and subsequent analysis and comparison of results in order to evaluate alternative process routes. A modular structure was chosen to allow greater flexibility and allowing the user to generate a large number of different biorefinery configurations The significance of the approach is that the methodology is defined and is thus rigorous and consistent and may be readily re-examined if circumstances change. There was the requirement for consistency in structure and use, particularly for multiple analyses. It was important that analyses could be quickly and easily carried out to consider, for example, different scales, configurations and product portfolios and so that previous outcomes could be readily reconsidered. The result of the completed methodology is the identification of the most promising biorefinery chains from those considered as part of the European Biosynergy Project

A resource allocation system for invasive alien plant control on the St. Francis Conservancy

Alien invasive species pose a great threat to ecosystems and human communities (Richardson & van Wilgen 2004; Hobbs & Humphries 1995). On private lands, there is a need to find institutional, administrative and scientific responses to the alien plant problem that operate beyond the scale imposed by property boundaries (Slocombe 1998; Grumbine 1994). One such response is the development and support of institutions, such as the St Francis Conservancy, that foster cross-boundary management of landscapes (Hurley et al. 2002). This study seeks to promote collective decision-making and collaborative management by private landowners through the development of a resource allocation system for the control of alien invasive plants on the St Francis Conservancy. The conservancy is located in the south-eastern lowlands of the Cape Floristic Region, between the villages of Cape St Francis and Oyster Bay, and is comprised of the properties of multiple landowners. Mutliple Criteria Decision Analysis (MCDA) and Geographical Information Systems (GIS) techniques were integrated to provide a spatially explicit resource allocation system that considered environmental, social and economic concerns. The MCDA technique selected for use was the Analytical Hierarchy Process (AHP). This technique has a record of providing robust, defensible decisions and enabled the resource allocation decision-problem to be decomposed into a hierarchy of objectives, criteria and indicators. Stakeholders participated in the development of the resource allocation system, especially through providing input into the determination of the relative importance of criteria and indicators through the assignment of weights. Various weighting scenarios were presented and these were interpreted into an ii implementation plan. The costs and effort required to clear alien plants were estimated, and obstacles facing the implementation of the plan were identified

Climate change impacts, vulnerability and adaptation: Sustaining rice production in Bangladesh

The current study has indicated the most prioritized interventions to be taken against climate change in Bangladeshi rice growing areas prone to drought and salinity events. The suggested methodology managed to evaluate a wide range of agricultural interventions through a transparent and userfriendly approach. The input of stakeholders’ views has provided valuable feedback for the empowerment of the study findings. The presentation of the current policy framework and the ongoing activities in agriculture offers a broad framework on the challenges and constraints to be met upon application of the suggested interventions