The issues of Human–Machine Interface (HMI) of Virtual Environment (VE) are discussed in view of users' potential application requirements in VE. The Human-centered HMI containing rich context information is proposed by taking the advantage of the abundant research findings of artificial...

Qualitative spatial reasoning (QSR) is useful for deriving logical inferences when quantitative spatial information is not available. QSR theories have applications in areas such as geographic information systems, spatial databases, robotics, and cognitive sciences. The existing QSR theories...

This work presents a method of multi-criteria decision making (MCDM) using neutrosophic sets. Besides studying some interesting mathematical properties of the method, algorithm viz neut-MCDM is presented. The work also furnishes the fundamentals of neutrosophic set theory succinctly, to provide...

In literature many researchers have studied full rationality of fuzzy choice functions. The aim of the present paper is to discuss rationality of fuzzy choice functions with rationalization reflexive, complete and quasi-transitive. For this purpose, we use fuzzy path independent property and...

In this paper, we focus on enriched cl-premonoid-valued topological groups, and their so-called change-of-basis lattice. In so doing, we take L as an enriched cl-premonoid and present a category SL-NTopGrp, of stratified enriched cl-premonoid-valued neighborhood topological groups. We produce...

The proofs of many factorization results for an intuitionistic fuzzy binary relation 〈ρμ,ρν〉 involve dual proofs, one for ρμ with respect to a t-conorm ⊕ and one for ρν with respect to a t-norm ⊗. In this paper, we show that one proof can be obtained from the other by considering...

A sustainable electric power system (EPS) is designed in this paper. First, a protocol is given, via which Maxwell's demon transfers green energy into optimally secure and efficient EPS. Then a morphogenesis scheme (design) of a homeostatic demon is determined, so that the demon can achieve...

Head pose estimation has been widely studied in recent decades due to many significant applications. Different from most of the current methods which utilize face models to estimate head position, we develop a relative homography transformation based algorithm which is robust to the large scale...

Inspired by quantum theory and reinforcement learning, a new framework of learning in unknown probabilistic environment is proposed. Several simulated experiments are given; the results demonstrate the robustness of the new algorithm for some complex problems. Also we generalized the Grover...

This paper presents an innovative concept of behavior prediction for decision and control in cognitive autonomous systems. The objective is to coordinate human–machine collaboration such that human operators can assess and enable autonomous systems to utilize their experiential and unmodeled...