Molodtsov’s soft sets have been applied by several authors to the study of decision making under uncertainty. In this study, we aim to initiate the application of soft rough approximations in multicriteria group decision making problems. A soft rough set based multicriteria group decision making scheme is presented, which refines the primary evaluation of the whole expert group and enables us t...

The single-valued neutrosophic set is a subclass of neutrosophic set, and has been proposed in recent years. An important application for single-valued neutrosophic sets is to solve multicriteria decision-making problems. The key to using neutrosophic sets in decision-making applications is to make a similarity measure between single-valued neutrosophic sets. In this paper, a new method to meas...

A decision-maker driven modeling and bottom-up decision making methodology is presented in the context of a service sector system performing under uncertainty. The methodology makes use of stochastic analysis and multicriteria decision making. Complete computations are included.

Sustainable development requires the resolution of many spatial decision problems in regard to managing the rights, restrictions and responsibilities between people and land. Most spatial decision problems are multicriteria in nature, involving economic, social, environmental and political dimensions and competing values. However, the process of multicriteria decision-making is not well establi...

In this work we start by presenting a possible architecture for MultiCriteria Dynamic Decision Making (MCDDM) problems. Then we focus on contributions for the rating process because it involves two important aspects of any dynamic spatial-temporal decision problem: how to deal with uncertainty in dynamically changing input data and how consider different criteria importance, depending on criter...

Today’s data networks are complex entities that operate in dynamic and heterogeneous environments. The architecture and protocols of these networks have to face several challenges such as dynamic adaptation and autonomous decision-making in the presence of several, often conflicting, criteria such as delay, loss rate, jitter, energy, etc. However, multicriteria decision making problems usually ...

This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision ...

In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can compete within a tier but may cooperate between tiers. We consider multicriteria decision-making for both the manufacturers and the distributors whereas the retailers are subject to decision-making under uncertainty since...

How to compromise the best price? A group tacit knowledge-based multicriteria approach Tacit knowledge plays an important role in decision making that is why, in this paper, we propose a group tacit knowledge-based multicriteria approach for decision process. This approach is based on a practical case study in the field of second hand vehicle purchase. This paper proposes ideas and research iss...