A novel complex-system-view-based method for system effectiveness analysis: Monotonic indexes space

Abstract

Based on the characteristics of the complex system, this paper presents a novel method, the monotonic indexes space method, for the effectiveness analysis of the complex system. First, it presents some basic concepts and assumption such as the monotonic indexes space, monotonic indexes requirement locus, etc. Second, based on the assumption that indexes are monotonic for the requirements, an algorithm is proposed and applied to numerical approximation of monotonic indexes requirement locus with hyperboxes. Third, this paper proposes two algorithms for acquiring intersection of several monotonic indexes requirement locus. Fourth, this paper proposes the monotonic-indexspace based system analysis model such as the system evaluation model, the sensitivity analysis model for indexes. Based on the practical requirement, the concept of fuzzy monotonic indexes requirement locus and the corresponding analysis model are introduced. Finally, this paper applies the above-mentioned models to analyze the effectiveness of a notional anti-stealth-air-defense information system. And the outputs show that the method is promising.

A Dynamic Conflict Analysis Method for EW Effectiveness Evaluation Based on Conditional State Space

“…Set X( f ) is the state space defined on the unit system U, and X( f ) ⊂ R n , and there is a set {a 1 , a 2 , • • • , a n } of n-dimensional feature attributes defined on X( f ). When the dimensions in X( f ) represent the conditional state of a conflict, X( f ) is called the EW conflict conditional state space [34].…”

“…determined by all functions in f , X * ( f ) is the subset of X( f ) that can meet the requirements of each conditional state, called the complete conditional state track [34].…”

“…If M i is the set of all valid points corresponding to ∀a ∈ X * (i) ( f ) and f i (a) = k i , then M i is called the conflict state track surface and M = i M i is the complete conflict state track surface [34].…”