For individual miners with the phenomenon of accident proneness, this study proposes to establish a competency model of miner safety management. On this basis, entropy-weight method is used to determine the weights of competency indexes at all levels, and fuzzy comprehensive evaluation is applied to score security competency. The computerized solving is realized with the help of Matlab programm...

Our paper analyzes some new lines to advance on an evolving concept, the so-called Entropy. We need to model this measure by adequate conditions, departing from vague pieces of information. For this, it will be very necessary to analyze the relationship between some such measures, which may be of di¤erent types, with their very interesting applications, as Graph Entropy, Metric Entropy, Algorit...

Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon’s entropy method is one of the various methods for finding weights discussed in the literature. However, in many real life problems, the data for the decision making processes cannot be measured precisely and there may be some other types of data, for instance,...

Since cell biologists need to use image processing techniques, such as edge detection, to analyze cell images the precision of these techniques is pivotal to their work. Due to the often low quality of cell images, existing edge detectors fail to routinely produce highly accurate results. In this paper, a novel hybrid method based on the canny operator and fuzzy entropy theory is proposed. The ...

This paper proposes fuzzy entropy minimization as an emergent property of holonic structures. When applied in the context of multi-agent systems this emergent property leads to automatic clustering of the agents into holonic organizations. When modeling enterprises as software agents the property turns into an inherent characteristic of holonic virtual organizations that enables clustering the ...

In the present paper we use principles of fuzzy logic to develop a general model representing several processes in a system’s operation characterized by a degree of vagueness and/or uncertainty. For this, the main stages of the corresponding process are represented as fuzzy subsets of a set of linguistic labels characterizing the system’s performance at each stage. We also introduce three alter...

In this paper, redundancy allocation problem for system reliability has been presented with entropy as objective function. This model using entropy has been used to account for the lack of expert’s information. The goal of entropy redundancy allocation problem is to find out optimal level of redundancies at each subsystem in a way that maximizes reliability and entropy of the system subject to ...

The main attribution of this paper is to propose two methods to construct entropy of interval valued fuzzy sets (IVFSs). First, we use an IVFS to construct two FSs and define entropy by similarity measure of the two FSs; then we use an IVFS to construct two IVFSs and also define entropy by similarity measure of the two IVFSs. At the same time, we give two examples to show that our methods are e...

This paper reviews the existing definitions and formulas of entropy for interval-valued intuitionistic fuzzy sets (IVIFSs) and demonstrates that they cannot fully capture the uncertainty of IVIFSs. Then considering both fuzziness and intuitionism of IVIFSs, we introduce a novel axiomatic definition of entropy for IVIFSs and develop several entropy formulas. Example analyses show that the develo...

A new family of implication operators, called probabilistic implications, is introduced. The suggested implications are based on conditional copulas and make a bridge between probability theory and fuzzy logic. It is shown that some well-known fuzzy implications appear as a particular probabilistic implications. Therefore, it seems that this new family of implication operators might be a useful...