Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Decision making in medical investigations using new divergence measures for intuitionistic fuzzy sets

Abstract: In recent times, intuitionistic fuzzy sets introduced by Atanassov has been one of the most powerful and flexible approaches for dealing with complex and uncertain situations of real world. In particular, the concept of divergence between intuitionistic fuzzy sets is important since it has applications in various areas such as image segmentation, decision making, medical diagnosis, pattern recognition and many more. The aim of this paper is to introduce a new divergence measure for Atanassov's intuitionistic fuzzy sets (textit{AIFS)}. The properties of the proposed divergence measure have been studied and the findings are applied in medical diagnosis of some diseases with a common set of symptoms.

Metcalfe's law and operational, analytical and collaborative CRM-using online business communities for co-creation

Abstract: Business Online Communities are fast becoming excellent tools for operational and collaborative Customer Relationship Management (CRM) with co-creation soon gaining pace as a strategic outcome of Collaborative CRM. This research article aims at analyzing the determinants of Individual Network Value (INV), further goes on to develop a framework for calculating Community Network Value and subsequently, empirically identifies individuals who have high INV. By segmenting the consumers, the research study discusses how organizations can identify consumer co-creators. The community value of a network is of great importance to organizations, especially from the CRM, Marketing and Customer Experience standpoint. The study segments consumers using hierarchical cluster analysis into groups to identify consumer co-creators. Greater participation in an online community, backed by greater commitment, online trust and loyalty towards an organization are individual traits that are useful to companies for identifying consumer co-creators for new product development, sharing innovative ideas and consumer evangelism.

Studies on ionic liquid based nanocomposite gel polymer electrolyte and its application in sodium battery

Abstract: A nanocomposite gel polymer electrolyte system comprising porous membrane of poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)/TiO2 immobilizing a liquid electrolyte of sodium trifluoromethanesulfonate (NaCF3SO3) in 1-butyl-3-methylimidazolium trifluoromethanesulfonate (BMImCF3SO3) ionic liquid is reported in the paper. The porous gel polymer electrolyte membranes are prepared by phase-inversion technique. The electrolyte membranes are characterized by various physical and electrochemical techniques. The TiO2 nanoparticles display interaction with the anion (CF3SO3−) of the liquid electrolyte and enhance amorphicity in the polymer network. The optimized membrane displays maximum room temperature ionic conductivity as ~0.4 mS cm−1 with improved electrochemical stability window of ~4.3 V and Na+ ion transport number as ~0.27. A proto-type sodium battery using the optimized membrane is fabricated and characterized. The battery delivers a stable open circuit potential of ~2.2 V and shows a discharge capacity ~200 mA h g−1 at 25 mA g−1 drain current.