https://ir.vidyasagar.ac.in/jspui/handle/123456789/5468 2026-04-15T02:43:34Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/5476 Title: Social Constructivism in Teaching Mathematics: An Absorbing Markov Chain Representation Authors: Voskoglou, Michael Gr. Abstract: The application of the principles of social constructivism for learning has become very popular during the last decades for teaching mathematics. In this article the process of teaching mathematics on the basis of those principles is represented by an absorbing Markov chain introduced on its steps. Interesting conclusions are produced through this representation and a measure is obtained for the effectiveness of teaching procedure. An example for teaching the derivative to fresher university students is also presented illustrating our results. Description: PP:1-10 2020-10-16T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/5475 Title: A Similarity Measure Between Generalized Fuzzy Numbers Authors: Majidi, Mehdi Abstract: Chen 2008, proposed a method for handling fuzzy risk analysis problems based on measures of similarity between interval-valued fuzzy numbers. In this paper, we proposed a method based on measures of similarity between generalized fuzzy numbers. In this method, the horizontal center-of-gravity, the perimeter, the height and the area of the two fuzzy numbers are considered and also the proposed approach is very simple and easy to apply in the real life problems. Description: PP:11-20 2020-10-16T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/5474 Title: Mixed Fractional CEV Model with Stochastic Volatility and the Pricing of European Options Authors: Sun, Yudong; Wanshan, Xie Abstract: In this work, we study the existence, uniqueness and continuity of solution to tock price equation of CEV model with stochastic volatility in fixed fractional Brown motion. Besides, we show a Monte Carlo simulation based on the discretization method to price the European option. Description: PP:21-30 2020-10-16T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/5473 Title: Faculty Evaluation using Fuzzy Numbers Authors: Alam, Md. Ashraful; Islam, Sahidul; Pandit, M.K Abstract: This research work provides a method based on fuzzy numbers to evaluate a faculty member of a university associated with degrees of confidence of the evaluator (student). The satisfaction levels for each question of faculty evaluation form are represented by fuzzy numbers associated with degrees of confidence between zero and one. The arithmetic operations between the α–cuts of fuzzy numbers are used to evaluate the total points of each faculty. Description: PP:31-38 2020-10-16T00:00:00Z