World's Best Scientists 2026 revealed!

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Computer Science

D-Index
33
Citations
3762
World Ranking
12789
National Ranking
22

Overview

M. H. Fazel Zarandi is affiliated with Amirkabir University of Technology in Iran. Their research spans several interdisciplinary fields with a focus on engineering, computer science, and business management. The scholar's work integrates techniques and methodologies from artificial intelligence, management information systems, and operations research to address challenges in supply chain and facility location problems.

Their published papers highlight applications in supply chain management, energy systems, and fuzzy optimization methods. Notable recent works include:

  • Mitigating bullwhip effect in an agent-based supply chain through a fuzzy reverse ultimatum game negotiation module (2021) in Applied Soft Computing
  • Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization (2020) in Applied Soft Computing
  • A fuzzy capacitated facility location-network design model: A hybrid firefly and invasive weed optimization (FIWO) solution (2020) in Iranian Journal of Fuzzy Systems
  • Mapping Crisp Structural Semantic Similarity Measures to Fuzzy Context: A Generic Approach (2020) in International Journal of Fuzzy Systems

Frequent co-authors of M. H. Fazel Zarandi include F. Shabany Moghadam, S. Askari, Nader Montazerin, Alireza Akhondi Asl, and Shahabeddin Sotudian.

The venues of publication predominantly feature applied and theoretical fuzzy systems and soft computing journals, with repeated contributions to Applied Soft Computing and Iranian Journal of Fuzzy Systems.

The main fields of study covered by this scholar's research are:

  • Engineering
  • Computer Science
  • Business, Management and Accounting

Key subfields include:

  • Artificial Intelligence
  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Electrical and Electronic Engineering

The main research topics explored in their work are:

  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Auction Theory and Applications
  • Energy Load and Power Forecasting
  • Process Optimization and Integration
  • Time Series Analysis and Forecasting
  • Facility Location and Emergency Management

Best Publications

  • A type-2 fuzzy rule-based expert system model for stock price analysis

    M. H. Fazel Zarandi;B. Rezaee;I. B. Turksen;E. Neshat

  • A hybrid modeling approach for forecasting the volatility of S&P 500 index return

    E. Hajizadeh;A. Seifi;M. H. Fazel Zarandi;I. B. Turksen

  • Fuzzy polynomial neural networks for approximation of the compressive strength of concrete

    M. H. Fazel Zarandi;I. B. Türksen;J. Sobhani;A. A. Ramezanianpour

  • Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach

    M. H. Fazel Zarandi;M. Zarinbal;M. Izadi

  • Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system

    Babak Rezaee;M.H. Fazel Zarandi

  • Relative entropy fuzzy c-means clustering

    M. Zarinbal;M. H. Fazel Zarandi;I. B. Turksen;I. B. Turksen

  • A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts

    M.H. Fazel Zarandi;A. Alaeddini;I. B. Turksen

  • A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems

    M.H. Fazel Zarandi;M. Pourakbar;I. B. Turksen

  • Fuzzy agent-based expert system for steel making process

    M.H. Fazel Zarandi;P. Ahmadpour

  • The large scale maximal covering location problem

    M. H. Fazel Zarandi;Soheil Davari;S. A. Haddad Sisakht

  • A state of the art review of intelligent scheduling

    Mohammad Hossein Fazel Zarandi;Ali Akbar Sadat Asl;Shahabeddin Sotudian;Oscar Castillo

  • A multi-agent system to solve the production–distribution planning problem for a supply chain: a genetic algorithm approach

    A. Kazemi;M. H. Fazel Zarandi;S. M. Moattar Husseini

  • A hybrid fuzzy intelligent agent-based system for stock price prediction

    M. H. Fazel Zarandi;Esmaeil Hadavandi;I. B. Turksen

  • Type-2 fuzzy modeling for desulphurization of steel process

    M.H. Fazel Zarandi;I.B. Türkşen;O. Torabi Kasbi

  • Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problems

    M.H. Alavidoost;Mosahar Tarimoradi;M.H. Fazel Zarandi

  • Designing a general type-2 fuzzy expert system for diagnosis of depression

    M. H. Fazel Zarandi;Shima Soltanzadeh;A. Mohammadi;Oscar Castillo

  • Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data

    S. Askari;N. Montazerin;M.H. Fazel Zarandi

  • Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times

    Unknown

  • A type-2 fuzzy c-regression clustering algorithm for Takagi-Sugeno system identification and its application in the steel industry

    M. H. Fazel Zarandi;R. Gamasaee;I. B. Turksen

  • A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables

    S. Askari;N. Montazerin;M.H. Fazel Zarandi

  • A Fuzzy Rule-Based Expert System for Diagnosing Asthma

    M H Fazel Zarandi;M Zou Alnouri;M Moein;H Heydarnezhad

  • Multi-central general type-2 fuzzy clustering approach for pattern recognitions

    S. Malek Mohamadi Golsefid;M.H. Fazel Zarandi;I.B. Turksen

Frequent Co-Authors

I.B. Turksen
I.B. Turksen University of Toronto
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana

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