• Home
  • Seyed Majid Alavi
  • OpenAccess
    • List of Articles Seyed Majid Alavi

      • Open Access Article

        1 - Using finite difference method for solving linear two-point fuzzy boundary value problems based on extension principle
        Seyed Majid Alavi
        In this paper an efficient Algorithm based on Zadeh's extension principle has been investigated to approximate fuzzy solution of two-point fuzzy boundary value problems, with fuzzy boundary values. We use finite difference method in term of the upper bound and lower bou More
        In this paper an efficient Algorithm based on Zadeh's extension principle has been investigated to approximate fuzzy solution of two-point fuzzy boundary value problems, with fuzzy boundary values. We use finite difference method in term of the upper bound and lower bound of $r$- level of fuzzy boundary values. The proposed approach gives a linear system with crisp tridiagonal coefficients matrix. This linear system determines $r$-level of fuzzy solution at mesh points. By combining of this solutions, we obtain fuzzy solution of main problem at mesh points, approximately. Its applicabilityis illustrated by someexamples Manuscript profile
      • Open Access Article

        2 - A Fuzzy Rule-Based Engine to Predict Noise Annoyance
        Ramin Zare Seyed Majid Alavi
        Noise annoyance can result from interference with daily activities, feelings, thoughts, sleep, or rest, and may be accompanied by negative emotional responses, such as irritability, distress, exhaustion, a wish to escape the noise, and other stress-related symptoms. Hen More
        Noise annoyance can result from interference with daily activities, feelings, thoughts, sleep, or rest, and may be accompanied by negative emotional responses, such as irritability, distress, exhaustion, a wish to escape the noise, and other stress-related symptoms. Hence, the main aim of the current study is to provide an expert system using the fuzzy approach to determine the effects of noise environment on annoyance. Speech annoyance is considered to be a function of noise levels, exposure duration, the noise level in habitat, and age. It is implemented on fuzzy logic employing the Mamdani techniques. The results are found to be annoyance reactions in old are stronger than in young relative to the noise exposure. Annoyance reactions can be somewhat stronger due to the combined effects of the noise level in habitat, noise level, and age. The study showed that the noise level should not exceed 75 dB(A) for ‘young’ and ‘middle-aged’ and 64 dB(A) for ‘old’ persons. Manuscript profile