Abstract

In an earlier paper, the researcher explained how mathematics is not only a technical subject but also a cultural one. As such, mathematical proofs and definitions, instead of simply numerical calculations, are essential for students when learning the subject. Hence, there must be a change in the pedagogies of Hong Kong’s local teachers. The author suggests three alternative ways to teach mathematical philosophy through infinity. These alternatives are as follows: 1. teach the concept of a limiting value in formalism through storytelling, 2. use geometry to intuitively learn infinity through constructivism, and 3. implement schematic stages for proof by contradiction. Simultaneously, teachers should also be aware of the difficulties among students in understanding different abstract concepts. These challenges include the following: 1. struggles with the concept of a limit, 2. mistakes in computing infinity intuitively, and 3. challenges in handling the method of proof by contradiction. By adopting these alternative approaches, teachers can provide the necessary support to pupils trying to comprehend the previously mentioned difficult mathematical ideas and ultimately transform students’ beliefs (Rolka et al., 2007). One can analyse these changed beliefs against the background of conceptual change. According to Davis (2001) & King,A, p.30 ‘this change implies conceiving of teaching as facilitating, rather than managing learning and changing roles from the sage on the stage to a guide on the side’. As a result, Hong Kong’s academic results in mathematics should hopefully improve.

Highlights

  • Mathematical model data cannot be unambiguously collected in many real-world problems

  • The first, based on a slice sum technique, a fully fuzzy rough multi-objective nonlinear problem has turned into five an equivalent multi-objective nonlinear programming (FFMONLP) problems

  • The second proposed method for solving FFRMONLP problems is αcut approach, where the triangular fuzzy rough variables and parameters of FFRMONLP problem are converted into rough interval variables and parameters by α-level cut, the rough multi-objective nonlinear programming problem (MONLP) problem turns into four MONLP problems

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Summary

Introduction

Mathematical model data cannot be unambiguously collected in many real-world problems. Dong and Wan [4], proposed A new method for solving fuzzy multi-objective linear programming Problems. A new algorithm was proposed for solving fully fuzzy multi-objective linear programming problem which first converted it into the multi-objective interval linear programming problem by Sharma and Aggarwal [7]. Elsisy and Elsayed [12], develop bilevel multi-objective nonlinear programming problem (BMNPP), in which the objective functions have fuzzy nature and the constraints represented as a rough set.

Preliminary
Formulation of Fully Fuzzy Rough MONLP Problem
Algorithm Solution for FRMONLP Problem
Full Text
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