Weighted win loss approach for analyzing prioritized outcomes

Weighted/prioritized compensatory aggregation

Yager et al. first introduce compensatory operators. This paper further introduces a kind of weighted compensatory operators, and a kind of prioritized compensatory operators. The difference between these similar classes of operators are identified. In addition, the paper introduces the concepts of ordered weighted/prioritized compensatory aggregation.

Win-loss Sequences for Multiple Round Tournaments

Each of n teams numbered 1, 2, · · · , n play each of the other n − 1 teams exactly t times. Thus, each team plays t (n− 1) games, and the total number of games is tc2 = tn(n−1) 2 . Each game {a, b} produces a win for one team and a loss for the other team. Define ai, i = 1, 2, · · · , n, to be the win records for the n teams. That is, for each i = 1, 2, · · · , n, team i wins a total of ai gam...

Win-win Theory for Win-win Success

THE INTELLECTUAL INVENTION THAT SURPASSES ALL OTHERS AS THE MOST BENEFICIAL ADVANCE OF HUMAN HISTORY IS RARELY UNDERSTOOD OR APPRECIATED BY EDUCATED ADULTS. With dire consequences for such neglect, there has been no applause for this wondrous invention, no gratitude for its beneficence, no monuments to hail its priceless influence. Largely overlooked, ignored, or taken for granted, this unceleb...

Analyzing the Weighted Dark Networks using Scale-Free Network Approach

The task of identifying the main key nodes in the dark (covert) networks is very important for the researchers in the field of dark networks analysis. This analysis leads to locate the major nodes in the network as the functionality can be minimized by disrupting major key nodes in the network. In this paper, we have primarily focused on two basic network analysis metrics, degree and betweennes...

An iterative approach for estimation of efficiency by weighted distance