in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

Most decision making problems can be considered as multiple criteria decision making (MCDM) problems, and should be solved by MCDM method. The main advantage of MCDM is that it can give managers many dimensions to consider related elements, and evaluate all possible options under variable degrees. This paper applied fuzzy set theory and a compromised MCDM method VIKOR method to evaluate the ser...

Hesitant fuzzy linguistic term sets (HFLTSs) are very useful for dealing with the situations in which the decision makers hesitate among several linguistic terms to assess an alternative. Some multi-criteria decision-making (MCDM) methods have been developed to deal with HFLTSs. These methods are derived under the assumption that the decision maker is completely rational and do not consider the...

The purpose of this paper is to analyze the use of multiple criterion decision making (MCDM) in accounting expert systems (AES). Focusing on the MCDM nature of expert system evaluation functions leads towards a partial taxonomy of AES and a further understanding of "intelligence" in AES. The focus on the MCDM nature of the evaluation functions also serves to highlight the limitations of some of...

Fuzzy Description Logics are logics which allow to deal with structured knowledge affected by vagueness. Although a relatively important amount of work has been carried out in the last years, fuzzy DLs are open to be extended with several features worked out in other fields. In this work, we start addressing the problem of incorporating Multi-Criteria Decision Making (MCDM) into fuzzy Descripti...

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...

Low-carbon building (LCB) has been regarded as an innovative and practical approach to reducing building carbon emissions. The design decision-making for LCBs should consider various criteria which however are often associated with uncertain information. Little research has examined multi-criteria decision making (MCDM) in selecting LCB measures, particularly in high-density subtropical urban e...

Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple criteria decision making (MCDM)-based approach to estimate the number of clusters for a given data set. In this approach, MCDM methods con...

This paper presents a structured methodology for Information Systems (IS) outsourcing decision problem. The problem of selection among candidate information systems of the IS can be formulated as Multi criteria decision making (MCDM) techniques. Thus, this paper proposes a fuzzy group decision making process to evaluate and select the appropriate Information System Project (ISP) based on fuzzy ...

This chapter demonstrates how a neuro-fuzzy approach could produce outputs of a further-modified multi-criteria decision-making (MCDM) quality function deployment (QFD) model within the required error rate. The improved fuzzified MCDM model uses the modified S-curve membership function (MF) as stated in an earlier chapter. The smooth and flexible logistic membership function (MF) finds out fuzz...