Concepts of decision design are introduced via Multiple Criteria Decision Making (MCDM), Knowledge Management (KM) and optimisation. Decision-making conflict is defined as the absence of a prominent tradeoffsfree alternative. Because tradeoffs are properties of alternatives (the measured) and not of criteria (the measures), designing an optimal decision involves designing a tradeoffs-free alter...

 Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified meth...

There is a great need for domain analysis and modelling for decision support systems (DSSs) with an e0ective methodology to assist the development of DSSs. This paper discusses the object-oriented modelling of DSSs for multicriteria decision making (MCDM) in natural resource management. This approach of DSS modelling is integrated into the uniform framework based on object orientation for both ...

Multiple criteria decision making (MCDM) is widely used in ranking one or more alternatives from a set of available alternatives with respect to multiple criteria. Inspired by MCDM which are methods to systematically evaluate alternatives, we propose a new Fuzzy TOPSIS for evaluating outsourcing software companies both using subjective and objective weights. While crisp data are inadequate to m...

Oligodendrocyte (OL) development relies on many extracellular cues, most of which are secreted cytokines from neighboring neural cells. Although it is generally accepted that both astrocytes and microglia are beneficial for OL development, there is a lack of understanding regarding whether astrocytes and microglia play similar or distinct roles. The current study examined the effects of astrocy...

There has been a growing interest and activity in the area of multiple criteria decision making (MCDM), especially in the last 20 years. Modeling and optimization methods have been developed in both crisp and fuzzy environments. The overwhelming majority of approaches for finding best compromise solutions to MCDM problems do not make use of the interdependences among the objectives. However, as...

Since the selection of middle managers is critical to the development of organizations for third-party logistics service providers (3PLs), how do the organizations of 3PLs select and recruit competent middle managers? The decision-making for middle managers selection poses a multi-criteria problem and faces a fuzzy environment. Hence, the aim of this paper is to develop a fuzzy multiple criteri...

The TODIM method, which is an acronym in Portuguese for Iterative Multi-criteria Decision Making, is one of the first Multi-Criteria Decision Making (MCDM) founded on prospect Theory. One of the strong attributes is its capacity to treat risk MCDM problems. Nevertheless, TODIM in its original formulation is not able to take into account uncertain information of the decision matrix. In order to ...

A good hub centre will effectively help expand agglomeration economy effects and increase competitive advantages for global shipping carrier-based logistics service providers (GSLPs). Hence, the selection of hub location of logistics centre is very important for the GSLP companies. In light of this, the main purpose of this paper is to develop an integrated fuzzy MCDM model to evaluate the best...

The evaluation of clustering algorithms is intrinsically difficult because of the lack of objective measures. Since the evaluation of clustering algorithms normally involves multiple criteria, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper presents an MCDM-based approach to rank a selection of popular clustering algorithms in the domain of financial risk ana...