We introduce and study a family of models for multi-expert multi-objective/criteria decision making. These models use a concept of weight robustness to generate a risk averse decision. In particular, the multi-expert multi-criteria robust weighted sum approach (McRow) introduced in this paper identifies a (robust) Pareto optimum decision that minimizes the worst case weighted sum of objectives ...

in the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. this leads to the multi-criteria evaluation of a project. the advantage of multi-criteria methods is the ability to take into account all (not only financial) aspects of the attractiveness of an investment project. the selection of criteria of p...

results the total art score was equal to 30.07 ± 12.43. data analysis from art illustrated that 74.6% of 240 cases were in high and 13.8% were in medium level of risk. art-electre results revealed that grading and pars naghsh halls were in the best and decoration hall was in the worst ergonomic conditions and should be placed in the top priority of action level. background in this paper, the er...

considering the contemporary business settings, managers’ role is more than essential to the viability and further development of an organization. managers should possess such skills in order to effectively cope with the competition. multiple attributes decision making (madm) is an approach employed to solve problems involving selection from among a finite number of alternatives. the aim of thi...

In this paper, the notion of a fuzzy vector of normalized weights is introduced, and its application in decision making models based on the weighted average operation is studied. The fuzzy vector of normalized weights represents a generalization of normalized fuzzy weights that authors formerly applied for modeling uncertain weights of criteria and/or uncertain probabilities of states of the wo...

Software engineering mainly aims to produce software of good quality that is delivered on time and budget. becomes an important concern for quantifying the performance attributes. The seminal objective work choose appropriate model according client's needs where client can give more importance specific criteria compared others as per his/her application's requirements. proposed approach will he...

In this note, we compare two approaches for handling risk-variability features arising in discrete-time Markov decision processes: models with exponential utility functions and mean variance optimality models. Computational approaches for finding optimal decision with respect to the optimality criteria mentioned above are presented and analytical results showing connections between the above op...

the expansion of major cities regardless of the scientific planning principles has led to theemergence of negative urban development impacts in iran such as the degradation of natural resources andvarious forms of pollution. undoubtedly, urban rivers can enhance the ecological value of the earth to anoptimal extent. however, to benefit from these potentials, appropriate planning looks inevitabl...

fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

In this paper, three types of (philosophical, optimistic and pessimistic) multigranulation single valued neutrosophic (SVN) covering-based rough set models are presented, and these three models are applied to the problem of multi-criteria group decision making (MCGDM).Firstly, a type of SVN covering-based rough set model is proposed.Based on this rough set model, three types of mult...