This article considers the use of fuzzy logic to support the evaluation of project status. A brief description of fuzzy set theory, fuzzy logic and the process of calculation is given. The major goal of this paper is to present an expert decision-making fuzzy model for evaluating project status....

The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is...

Through the last year's global economical changes, population growth, and the need for allocation of resources towards population; have promoted the interest for the acceleration of economical regional development for the cities through new processes, some of which have to exceed the boundaries...

Six Sigma is a strategy for achieving process improvement and operational excellence within an organization. Decisions on critical parameter selection in analysis phase are always very crucial; it plays a primary role in successful execution of Six Sigma project and for productivity improvement...

This paper has twofold purpose. Firstly, an assessment method aimed to evaluate R&D strategic performance indicators is introduced. The proposed framework is based on fuzzy set theory which represents an adequate tool for quantitatively describing the vague and ambiguous nature of the R&D...

This paper addresses the multiple criteria flight gate assignment problem under uncertainty, which is naturally modeled by fuzzy numbers. The problem examined is a special kind of multicriteria multi-mode resource-constrained project scheduling problem with generalized precedence constraints or...

In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant vprecision in system reliability. The imprecision in data can often be represented by triangular fuzzy numbers. In this manuscript, we have considered different fuzzy environment...

Six Sigma is a strategy for achieving process improvement and operational excellence within an organization. Decisions on critical parameter selection in analysis phase are always very crucial; it plays a primary role in successful execution of Six Sigma project and for productivity improvement...

The aim of this article is to give an introduction to quadrotor systems with an overview of soft computing techniques used in quadrotor unmanned aerial vehicle (UAV) control, modelling, object following and collision avoidance. The quadrotor system basics, its structure and dynamic model...

In a remarkably short time, economic globalisation has changed the world’s economic order, bringing new challenges and opportunities to SMEs. These processes pushed the need to measure innovation capability, which has become a crucial issue for today’s economic and political decision makers....

Present article is contextualized in an evolved market as the banking where there is a high level of competition that leads in many cases to the marketing of wide range of financial products based on limited information or untransparent, presence of surprise or unfair terms or other type of...

This article considers the use of fuzzy logic to support the evaluation of project status. A brief description of fuzzy set theory, fuzzy logic and the process of calculation is given. The major goal of this paper is to present an expert decision-making fuzzy model for evaluating project status....

Present article is contextualized in an evolved market as the banking where there is a high level of competition that leads in many cases to the marketing of wide range of financial products based on limited information or untransparent, presence of surprise or unfair terms or other type of...