Analysis of Fuzzy Tandem Terror Queues
Fuzziness gravels an astounding fragment to modify the state of perplexity correlated with vague data. Terror queues network looks for terror plots in preparatory work and when they discover one, the undercover agents try to detect/demolish the conspiracy. This paper depicts a tandem framework of Terror queue model performance measures like expectations where terror plots are ‘customers’ and group of agents/informants are ‘servers’. Fuzzy tandem terror queues are discussed on the basis of Baurah’s Randomness-Fuzziness consistency principle involving Zadeh’s extension principle with parametric programming approach upon which the queue models represents fuzzy entry and exit rate of customers.