Pattern Analysis and Intelligent Systems
1. A Novel Fuzzy-C Means Image Segmentation Model for MRI Brain Tumor Diagnosis

Aref Safari; Danial Barazandeh; Seyed Ali Khalegh Pour

Volume 6, Issue 1 , Winter 2020, , Pages 19-24

Abstract
  Accurate segmentation of brain tumor plays a key role in the diagnosis of brain tumor. Preset and precise diagnosis of Magnetic Resonance Imaging (MRI) brain tumor is enormously significant for medical analysis. During the last years many methods have been proposed. In this research, a novel fuzzy approach ...  Read More

Pattern Analysis and Intelligent Systems
2. Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System

OLATUNJI HEZEKIAH ADIGUN; OLUSOLA JOEL OYEDELE

Volume 5, Issue 1 , Winter 2019, , Pages 11-18

Abstract
  This paper employs Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict water level that leads to flood in coastal areas. ANFIS combines the verbal power of fuzzy logic and numerical power of neural network for its action. Meteorological and astronomical data of Santa Monica, a coastal area in California, ...  Read More

Pattern Analysis and Intelligent Systems
3. A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Salah Uddin; Mizanur Rahman; Samaun Hasan; S.M. Irfan Rana; Shaikh Muhammad Allayear

Volume 5, Issue 1 , Winter 2019, , Pages 49-56

Abstract
  Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not ...  Read More

Pattern Analysis and Intelligent Systems
4. Decentralized Fuzzy-PID Based Control Model for a Multivariable Liquid Level System

Olatunji Hezekiah Adigun

Volume 4, Issue 4 , Autumn 2018, , Pages 247-254

Abstract
  Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning ...  Read More

Pattern Analysis and Intelligent Systems
5. A New Multi-Criteria Decision Making Based on Fuzzy- Topsis Theory

Leila Yahyaie; Sohrab Khanmohammadi

Volume 2, Issue 4 , Autumn 2016, , Pages 39-48

Abstract
  Abstract— In this paper, a new extended method of multi criteria decision making based on fuzzy-Topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. Using a new index leads to procedure for choosing ...  Read More

Pattern Analysis and Intelligent Systems
6. A Fuzzy-GA Approach for Parameter Optimization of A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children

Rahil Hosseini; Farzaneh Latifi; Mahdi Mazinani

Volume 2, Issue 2 , Spring 2016, , Pages 33-42

Abstract
  Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization ...  Read More

Pattern Analysis and Intelligent Systems
7. Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

Vahid Seydi Ghomsheh; Mohamad Teshnehlab; Mehdi Aliyari Shoordeli

Volume 1, Issue 2 , Spring 2015, , Pages 29-38

Abstract
  This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function ...  Read More