This paper extends standard agency theoretic models to explicitly take into account the presence of multiple criteria at the agent level. Two possible approaches for this extension are discussed. In the first approach, we consider only the minimum information that the principal might posses about the agent's preferences towards different criteria. It can be shown that, in this context, the prin...

in the last few years, public awareness has been on the increase about short- and long-term effects of forest roads construction on the environment. therefore, forest road managers have to be concerned about the negative impacts and mitigate them as much as possible. this research conducted multi-criteria analysis techniques in a useful way to define the effective criteria and propose a model f...

Multi-criteria Evaluation (MCE) is increasingly being used in the assessment of natural resource management options which involve complex ecological, economic and social outcomes and interactions. This paper draws on the results of research experiences and reviews MCE applications to identify methodological issues with conducting MCE and future research possibilities. Some of the key issues tha...

"Fe consider multi-criteria sequential decision making problems ,,,,here the vector-valued evaluations arc cOluparcd by it given, fixed total order­ ing. Conditions for the optimality of stationary policies and the Bell­ lUan optimality eqnation arc given for a special, hut importrmt cla...,s of problems when the evaluation of policies can be computed for the cri­ teria independently of each ot...

evaluating and selecting alternatives investment projects needs considering all relevant and important aspects. in traditional methods, the focus is just on tangible monetary criteria. also in the traditional methods, either all the information’s about factors must be known precisely or sufficient objective data must be available for applying probability theory. in this paper, a combinative app...

Deriving weights from a pairwise comparison matrix (PCM) is a subject for which a wide range of methods have ever been presented. This paper proposes a common weight multi criteria decision analysis-data envelopment analysis (MCDA-DEA) approach with assurance region for weight derivation from a PCM. The proposed model has several merits over the competing approaches and removes the drawbacks of...

the main purpose of this paper is to present a fuzzy multi-criteria decision making (fmadm) model for appropriate location selection of a health center. therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. these criteria and sub-criteria have been obtained from literature reviews and practical interviews. this paper proposes a method which combines th...

multi-criteria shortest path problems (mspp) are called as np-hard. for mspps, a unique solution for optimizing all the criteria simultaneously will rarely exist in reality. algorithmic and approximation schemes are available to solve these problems; however, the complexity of these approaches often prohibits their implementation on real-world applications. this paper describes the development ...

fuzzylogic computes a multi-criteria evaluation by means of either a boolean analysis, weightedlinear combination (wlc) and ordered weighted averaging (owa) of factor images. owa works withstandardized factor images and employs a variant of the wlc. it takes into account the risk associated withthe decision and degree of tradeoff associated with the variables in the analysis. in this research, ...