Academic Staff Selection using Graph Theory Matrix Approach

A novel technique to solve the supplier selection problem: combination of decision making trial and evaluation laboratory and graph theory and matrix approach methods

Considering the major change occurred in business cells from plant to “chain” and the critical need to choose the best partners to form the supply chain for competing in today’s business setting, one of the vital decisions made at the early steps of constructing a business is supplier selection. Given the fact that the early decisions are inherently strategic and therefore hard and costly to c...

Site Selection for a Power Plant Using Graph Theory and Matrix Method

With ever increasing energy demand no site for setting up power plant can be left un-harnessed. Therefore, in the present work a methodology based upon the combination of graph theory and matrix method is developed so that an site may be evaluated in terms of best suitability for setting up a power plant. Factor responsible for best operational performance of a power plant are identified and ev...

Graph Theory and Matrix Approach as a Decision- aking Method

Blind Measurement Selection: A Random Matrix Theory Approach

This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the ( n k ) possible choices would require a very high computational complexity and as such is not practi...

Viii. Detection and Estimation Theory Academic and Research Staff

In this report we formally obtain some results regarding likelihood ratios and mutual information for (conditional) Poisson processes with stochastic intensity functions. Our results for likelihood ratios are an extension of results obtained recently by Snyderl ' Z by a somewhat different approach (Snyder considers the case where the stochastic intensity function is Markovian while our results ...