Financial time series forecasting is undoubtedly the top choice of computational intelligence
for finance researchers in both academia and the finance industry due to its broad …

Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

Since the risk of loan defaulting in peer-to-peer (P2P) lending is notoriously difficult to
evaluate, a deep neural network-based decision-making approach is proposed in this work …

The paper introduces horizontal membership functions (HMFs) which define a fuzzy set not
in form of commonly used vertical membership functions of type μ= f 1 (x) but in the …

Purpose The purpose of this paper is to investigate models and methods for managing
supply chain risks and delays in construction projects. Design/methodology/approach The …

The TOPSIS method is a technique for establishing order preference by similarity to the ideal
solution, and was primarily developed for dealing with real-valued data. This technique is …

Abstract 1 The paper presents two possible interpretations and realization ways of interval
multiplication and division: the possibilistic, unconditional interpretation that is of great …

The paper presents addition of fuzzy numbers realised with the application of the
multidimensional RDM arithmetic and horizontal membership functions (MFs). Fuzzy …

The paper presents the generalization of the almost forty years of experience in the field of
setting and solving the multiple criteria decision-making (MCDM) problems in various …

The article presents a new method of solving the basic tolerant interval and fuzzy equation
called Shifted Membership Function (SMF) method. The method provides a deeper look into …