The first realization of a biomolecular OR gate function with double-sigmoid response (sigmoid in both inputs) is reported. Two chemical inputs activate the enzymatic gate processes, resulting in the output signal: chromogen oxidation, which occurs when either one of the inputs or both are present (corresponding to the OR binary function), and can be optically detected. High-quality gate functi...

Uncertain set theory is a generalization of uncertainty theory that has become a new branch of mathematics for modeling human belief degrees. Uncertain set is a fundamental concept to describe unsharp concepts in uncertain set theory. The moments are important characteristics of an uncertain set. This paper studies the moments and central moments of uncertain set and gives some formulas to calc...

We consider pattern matching problems where patterns are presented as sequences of fuzzy constraints on input elements. Given an infinite alphabet A, a pattern P [α,β] is a sequence ­ μi1 , μi2 , ..., μim ® of membership functions μij defined on A. The pattern P fuzzy matches an input sequence t ∈ A∗ if t = ux1x2 · · ·xmv such that

Scene classification has received much attention in the recent past. How images can be efficiently classified becomes an important research topic. Most of the stateof-the-art solutions assumed that scene classes are mutually exclusive. But, different human beings have different perceptions, and different people tend to respond inconsistently even to the same scene images. Hence, a scene image m...

A set o f questionnaires was prepared to compare four elicitation methods: point esthnation, bzterval estflnation, membership function exemplification, and pairwise comparison. Technical and nontechnical topics were involved, assuming subjects performed either as measurenlent instruments or as repositories o f knowledge. The advantages, disadvantages, and limitations of each method are discusse...

*Correspondence: [email protected] School of Science, Hebei University of Engineering, Handan 056038, China Abstract Uncertain set is a set-valued function on an uncertainty space, and attempts to model unsharp concepts. Membership function is used to describe the membership degree that a value belongs to the uncertain set. In order to estimate the membership function for an uncertain set via...

Network-centric military operations are redefining information overload as military commanders and staffs are inundated with vast amounts of information. Recent research has developed a fuzzy-based system to assign a Value of Information (VoI) determination for individual pieces of information. This paper presents an investigation on the effect of using triangular and trapezoidal fuzzy membersh...

Rough set approximations of Pawlak [15] are sometimes generalized by using similarities between objects rather than elementary sets. In practical applications, both knowledge about properties of objects and knowledge of similarity between objects can be incomplete and inconsistent. The aim of this paper is to define set approximations when all sets, and their approximations, as well as similari...

A fuzzy binary track correlation algorithm and a fuzzy classical assignment algorithm are proposed for distributed multisensor data fusion in this paper. First, the corresponding composition of fuzzy element sets and selection of membership function are discussed. And then, dynamic assignment of weight vectors and multi-valency processing methods are designed. Finally, a fuzzy binary track corr...

The fuzzy representation of the edges has been widely studied in different works. Generally, for each pixel, the authors use membership degrees linearly proportional to the magnitude of the gradient at that position of the image. This would be equivalent to using a triangular membership functions on the gradient magnitude. In this work we study the use of parametric functions in the transformat...