This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS’s. First, multi-criteria decisionmaking (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the “best candidate FMS alternative” from a set of candidate-FMSs. The MCDM...

We propose a multiple-criteria decision-making (MCDM) method based on Maximum A Posteriori (MAP) estimation to analyze users’ physiological status either normal or abnormal. The decision-making problem is formulated using MAP estimation and is turned out to be MCDM problem given the assumption that all probability density functions (pdfs) follow exponential forms, especially Gaussian. It indica...

The need for a transition to society that will meet its energy needs from local resources and with minimal negative environmental impact is no longer presented as an option but necessity. Energy are limited, it necessary ensure they properly used managed in sustainable manner. Optimal redistribution of supply different generation distribution options end users within the community called mix. W...

Multi-criteria decision-making/analysis is a vast field designed for solving decision-making problems. Due to the widespread use of many relevant MCDA/MCDM approaches and their frequent appearance in scientific papers, there particular gap regarding comprehensive software that should have components. Therefore, this paper proposes flexible library written Python 3 multi-criteria analysis/decisi...

Being able to assess software quality is essential as software is ubiquitous in every aspect of our dayto-day lives. In this paper, we build upon existing research and metrics for defining software quality and propose a way to automatically assess software quality based on these metrics. In particular, we show that the problem of assessing the quality of software can be viewed as a multi-criter...

Multicriteria decision making (MCDM) has found many applications in both public and private sector organizations. MCDM is both an approach and a set of techniques, with the goal of providing an overall ordering of options, from the most preferred to the least preferred option. The set of MCDM techniques are implemented in selecting the vendors and 3PL service providers. Supplier selection is a ...

In the fuzzy set theory, information  measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...

Decision makers (DMs) face different levels of uncertainty throughout the decision making process. In particular, natural language is generally subjective or ambiguous when used to express perceptions and judgments. The aim of this paper is to extend the VIKOR method and develop a methodology for solving multi-criteria decision making (MCDM) problems with stochastic data. The weights of the sto...