M. Zarandi

发表

An Intelligent Agent-based System for Reduction of Bullwhip Effect in Supply Chains

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Morteza Pourakbar, 2006, 2006 IEEE International Conference on Fuzzy Systems.

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Ali Akbar Ramezanianpour, 2008, Appl. Soft Comput..

Aggregate system analysis for prediction of tardiness and mixed zones of continuous casting with fuzzy methodology

I. Turksen, M. Zarandi, 1998 .

Computing Centroid of General Type-2 Fuzzy Sets using Constrained Switching Algorithm

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, I. Türksen, 2015 .

A Fuzzy Rule-Based Expert System for Diagnosing Asthma

M. H. Fazel Zarandi, M. Zarandi, M. Alnouri, 2010 .

An interval type-2 fuzzy model for Vehicle Routing Problems in supply chains

M. Zarandi, M. R. N. Kalhori, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

A prototype-based classi cation using extended imperialist competitive algorithm

M. Zarandi, V. Hajipour, A. Zaretalab, 2017 .

Parameterized interval valued fuzzy expert systems for feasibility study of projects

M. Zarandi, A. Salehizadeh, 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

Fuzzy Rule-Base Expert System for Evaluation Possibility of Fatal Asthma

Mohammad Hossein Fazel Zarandi, Maryam Zolnoori, Mostafa Moin, 2011 .

New possibilistic noise rejection clustering algorithm with simulated annealing

M. Zarandi, M. Avazbeigi, M. Anssari, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

FUZZY IMAGE PROCESSING FOR DIAGNOSING INFLAMMATION IN PULMONARY BIOPSIES

M. Zarandi, M. Mostafa, S. H. Nourouzzadeh, 2009 .

Fuzzy time series based on defining interval length with Imperialist Competitive Algorithm

M. Zarandi, A. Molladavoudi, A. Hemmati, 2010, 2010 Annual Meeting of the North American Fuzzy Information Processing Society.

A type-2 fuzzy-statistical clustering approach for estimating the multiple change points in a process mean with monotonic change

M. Zarandi, Saja Najafi, 2014, The International Journal of Advanced Manufacturing Technology.

A systematic type-2 fuzzy optimization model for global market analysis and its application

I. Turksen, M. Zarandi, S. M. Golsefid, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning

Mohammad Hossein Fazel Zarandi, Abbas Ahmadi, Farzad Vasheghani Farahani, 2018, Math. Comput. Simul..

A new multiple classifier system for diagnosis of erythemato-squamous diseases based on rough set feature selection

Mohammad Hossein Fazel Zarandi, B. Lahijanian, Farzad Vasheghani Farahani, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Lung nodule diagnosis from CT images based on ensemble learning

Mohammad Hossein Fazel Zarandi, Abbas Ahmadi, Farzad Vasheghani Farahani, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Overview of Big Data in Healthcare

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2017 .

Interval Type-2 Enhanced Possibilistic Fuzzy C-Means Clustering for Gene Expression Data Analysis pdf

Mohammad Hossein Fazel Zarandi, Shahabeddin Sotudian, M. Zarandi, 2021, ArXiv.

Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof

Mohammad Hossein Fazel Zarandi, S. Askari, N. Montazerin, 2017, Neurocomputing.

A novel approach to dynamic portfolio trading system using multitree genetic programming

Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi, Somayeh Mousavi, 2014, Knowl. Based Syst..

A Fuzzy Expert System Architecture for Intelligent Tutoring Systems: A Cognitive Mapping Approach

Mohammad Hossein Fazel Zarandi, Behrouz Minaei-Bidgoli, I. B. Turksen, 2012 .

A Type-2 Fuzzy Hybrid Expert System for Commercial Burglary

Mohammad Hossein Fazel Zarandi, Abbas Seifi, H. Esmaeeli, 2017, NAFIPS.

A Computer-Aided Type-II Fuzzy Image Processing for Diagnosis of Meniscus Tear

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, A. Khadangi, 2016, Journal of Digital Imaging.

A type-2 fuzzy intelligent agent based on sparse kernel machines for reducing bullwhip effect in supply chain

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, R. Gamasaee, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

A fuzzy hybrid intelligent agent system for mitigating demand amplification in supply chain of steel manufacturing

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

A type-2 fuzzy system model for reducing bullwhip effects in supply chains and its application in steel manufacturing

R. Gamasaee, M. H. Fazel Zarandi, M. Zarandi, 2013 .

A hybrid approach to develop an interval type-2 fuzzy logic system

I. B. Turksen, M. H. Fazel Zarandi, I. Turksen, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Type-2 fuzzy hybrid expert system for prediction of tardiness in scheduling of steel continuous casting process

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2012, Soft Comput..

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

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, Mina Izadi, 2011, Appl. Soft Comput..

Using Type-2 fuzzy function for diagnosing brain tumors based on image processing approach

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2010, International Conference on Fuzzy Systems.

Counting eosinophils in bronchoalveolar lavage fluid images with fuzzy methodology

Mohammad Hossein Fazel Zarandi, Shaghayegh Norouzzadeh, Shahram Teimorian, 2009, Appl. Soft Comput..

Type-II Fuzzy Possibilistic C-Mean Clustering

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2009, IFSA/EUSFLAT Conf..

Type-2 fuzzy modeling for desulphurization of steel process

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, O. Torabi Kasbi, 2007, Expert Syst. Appl..

A fuzzy cluster-validity index based on the topology structure and node attribute in complex networks

Mohammad Hossein Fazel Zarandi, Susan Bastani, Mansoureh Naderipour, 2022, Expert Syst. Appl..

A hybrid fuzzy intelligent agent‐based system for stock price prediction

Mohammad Hossein Fazel Zarandi, Esmaeil Hadavandi, I. Burhan Türksen, 2012, Int. J. Intell. Syst..

Production Planning and Scheduling: Fuzzy and Crisp Approaches

I. B. Turksen, M. H. Fazel Zarandi, I. Turksen, 1999 .

Fuzzy Rule-Based Expert System for Assessment Severity of Asthma

Mohammad Hossein Fazel Zarandi, Maryam Zolnoori, Shahram Teimorian, 2012, Journal of Medical Systems.

A new cluster validity measure based on general type-2 fuzzy sets: Application in gene expression data clustering

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, M. Zarandi, 2014, Knowl. Based Syst..

Type-2 fuzzy image enhancement: Fuzzy rule based approach

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, M. Zarandi, 2014, J. Intell. Fuzzy Syst..

An intelligent multi-agent system architecture for enhancing self-management of type 2 diabetic patients

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Z. Darabi, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Babak Rezaee, 2009, Expert Syst. Appl..

A new fuzzy functions model tuned by hybridizing imperialist competitive algorithm and simulated annealing. Application: Stock price prediction

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2013, Inf. Sci..

Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, S. M. Hadian, 2007, J. Intell. Fuzzy Syst..

Customer satisfaction assessment with fuzzy queries and ANFIS for an automotive industry

I.B. Turksen, M.H.F. Zarandi, B. Maadani, 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

Identification of the linear parts of nonlinear systems for fuzzy modeling

Mahmood Rezaei Sadrabadi, M. Hossein Fazel Zarandi, M. Zarandi, 2011, Appl. Soft Comput..

A new Dirichlet process for mining dynamic patterns in functional data

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2017, Inf. Sci..

Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2017, Appl. Soft Comput..

Type-1 to Type-n Fuzzy Logic and Systems

Oscar Castillo, Mohammad Hossein Fazel Zarandi, R. Gamasaee, 2016, Fuzzy Logic in Its 50th Year.

A new interval type-2 fuzzy reasoning method for classification systems based on normal forms of a possibility-based fuzzy measure

Mohammad Hossein Fazel Zarandi, M. Rostam Niakan Kalhori, M. Zarandi, 2021, Inf. Sci..

Fuzzy system models for aggregate scheduling analysis

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, I. Türksen, 1998, Int. J. Approx. Reason..

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Adel Alaeddini, 2008, Inf. Sci..

A type-2 fuzzy-statistical clustering approach for estimating the multiple change points in a process mean with monotonic change

Mohammad Hossein Fazel Zarandi, M. Zarandi, S. Najafi, 2014, The International Journal of Advanced Manufacturing Technology.

A general fuzzy-statistical clustering approach for estimating the time of change in variable sampling control charts

Mohammad Hossein Fazel Zarandi, Adel Alaeddini, A. Alaeddini, 2010, Inf. Sci..

A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Adel Alaeddini, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

A Neuro-Fuzzy Expert System Trained by Particle Swarm Optimization for Stock Price Prediction

Mohammad Hossein Fazel Zarandi, Meysam Alizadeh, Milad Avazbeigi, 2012 .

Type-2 fuzzy rule-based expert system for Ankylosing spondylitis diagnosis

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Maede Maftouni, 2015, Annual Conference on the North American Fuzzy Information Processing Society.

A Type-2 Fuzzy Expert System for Diagnosis of Leukemia

Mohammad Hossein Fazel Zarandi, Ali Akbar Sadat Asl, M. Zarandi, 2017, NAFIPS.

A new validation criteria for type-2 fuzzy c-means and possibilistic c-means

Mohammad Hossein Fazel Zarandi, M. Zarandi, A. D. Torshizi, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

A Mixed Expert Evaluation System and Dynamic Interval-Valued Hesitant Fuzzy Selection Approach

Mohammad Hossein Fazel Zarandi, Hossein Gitinavard, M. Zarandi, 2016 .

Alpha-plane based automatic general type-2 fuzzy clustering based on simulated annealing meta-heuristic algorithm for analyzing gene expression data

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, M. Zarandi, 2015, Comput. Biol. Medicine.

A new indirect approach to the type-2 fuzzy systems modeling and design

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, I. Burhan Türksen, 2013, Inf. Sci..

A state of the art review of intelligent scheduling

Oscar Castillo, Mohammad Hossein Fazel Zarandi, Ali Akbar Sadat Asl, 2018, Artificial Intelligence Review.

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Abbas Seifi, 2012, Expert Syst. Appl..

Incorporating demand, orders, lead time, and pricing decisions for reducing bullwhip effect in supply chains

R. Gamasaee, M. H. Fazel Zarandi, M. Zarandi, 2017 .

Possibilistic C-Means for considering of Neutron and density porosity

Mohammad Hossein Fazel Zarandi, Navid Seifipour, P. Nouri Koohani, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

A modular Takagi-Sugeno-Kang (TSK) system based on a modified hybrid soft clustering for stock selection

Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi, Somayeh Mousavi, 2019, Scientia Iranica.

A Fuzzy Clustering Model for Fuzzy Data with Outliers pdf

Mohammad Hossein Fazel Zarandi, Zahra S. Razaee, M. Zarandi, 2010, Int. J. Fuzzy Syst. Appl..

A multi-stage expert system for classification of pavement cracking

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, Fereidoon Moghadas Nejad, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

A Type-2 Fuzzy Model Based on Three Dimensional Membership Functions for Smart Thresholding in Control Systems

Fereidoon Moghadas Nejad, H. Zakeri, M. H. Fazel Zarandi, 2012 .

A hybrid fuzzy-ontology based intelligent system to determine level of severity and treatment recommendation for Benign Prostatic Hyperplasia

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, Kamyar Eghbali, 2014, Comput. Methods Programs Biomed..

Computer-Aided Intelligent System for Diagnosing Pediatric Asthma

Mohammad Hossein Fazel Zarandi, Maryam Zolnoori, Anoshirvan Kazemnejad, 2012, Journal of Medical Systems.

Interval type-2 credibilistic clustering for pattern recognition

M. H. Fazel Zarandi, M. Rostam Niakan Kalhori, M. Zarandi, 2015, Pattern Recognit..

Facility location via fuzzy modeling and simulation

Mohammad Hossein Fazel Zarandi, Mahmood Rezaei Sadrabadi, M. Zarandi, 2011, Appl. Soft Comput..

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Morteza Pourakbar, 2008, Expert Syst. Appl..

Supplier selection in a multi-item/multi-supplier environment

I. Turksen, S. Davari, M. Zarandi, 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

Relative entropy collaborative fuzzy clustering method

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2015, Pattern Recognit..

Interval Type-2 Relative Entropy Fuzzy C-Means clustering

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2014, Inf. Sci..

Relative entropy fuzzy c-means clustering

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2014, Inf. Sci..

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

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, R. Gamasaee, 2012, Inf. Sci..

A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors

Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I. Burhan Türksen, 2015, Journal of Medical Systems.

A new diamond shape architecture based on multi agents for supply chain in an uncertain environment

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, B. Bahrami, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Fuzzy expert system for prognosis of breast cancer recurrence

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Faezeh Roshani, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Sparse kernel machines based on type-2 fuzzy clustering for demand forecasting

Mohammad Hossein Fazel Zarandi, R. Gamasaee, M. Zarandi, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Generating ternary stock trading signals using fuzzy genetic network programming

Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi, Hosein Hamisheh Bahar, 2016, 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS).

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

Mohammad Hossein Fazel Zarandi, S. Askari, N. Montazerin, 2017, Appl. Soft Comput..

Generalized Reinforcement Learning Fuzzy Control with Vague States

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Javid Jouzdani, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

Fuzzy probabilistic expert system for occupational hazard assessment in construction

Abdollah Ardeshir, Mehran Amiri, Mohammad Hossein Fazel Zarandi, 2017 .

A Type-2 Fuzzy Rule-Based Expert System Model for Portfolio Selection

M. H. Zarandi, E. Hajigol Yazdi, M. Zarandi, 2008 .

Interval type-2 fuzzy expert system for prediction of carbon monoxide concentration in mega-cities

Mohammad Hossein Fazel Zarandi, M. R. Faraji, M. Karbasian, 2012, Appl. Soft Comput..

MGP-INTACTSKY: Multitree Genetic Programming-based learning of INTerpretable and ACcurate TSK sYstems for dynamic portfolio trading

Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi, Somayeh Mousavi, 2015, Appl. Soft Comput..

Application of Intelligent Systems in Asthma Disease: Designing a Fuzzy Rule-Based System for Evaluating Level of Asthma Exacerbation

Mohammad Hossein Fazel Zarandi, Maryam Zolnoori, Mostafa Moin, 2012, Journal of Medical Systems.

A Fuzzy Model for Supplier Selection and Development

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Mahmood Rezaei Sadrabadi, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

On type-reduction of type-2 fuzzy sets: A review

Mohammad Hossein Fazel Zarandi, Abolfazl Doostparast Torshizi, Hamzeh Zakeri, 2015, Appl. Soft Comput..

Archive of SID Image Segmentation: Type-2 Fuzzy Possibilistic C-Mean Clustering Approach

Marzie Zarinbal, M. H. Fazel Zarandi, Fazel Zarandi, 2012 .

A Type-2 Fuzzy Model to Prioritize Suppliers Based on Trust Criteria in Intelligent Agent-Based Systems

Mohammad Hossein Fazel Zarandi, Zohre Moattar Husseini, Seyed Mohammad Moattar Husseini, 2018 .

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

Oscar Castillo, A. Mohammadi, M. H. Fazel Zarandi, 2019, Appl. Soft Comput..

Interval Type II Fuzzy Rough Set Rule Based Expert System to Diagnose Chronic Kidney Disease

Oscar Castillo, Mohammad Hossein Fazel Zarandi, Mona Abdolkarimzadeh, 2018, NAFIPS.

Type-2 Fuzzy Rule-Based Expert System for Diagnosis of Spinal Cord Disorders

M. H. Fazel Zarandi, S. Rahimi Damirchi-Darasi, I. B. Turksen, 2018 .

A type-2 data mining optimization for predicting pistachio global market

I. B. Turksen, S. M. M. Golsefid, M. H. F. Zarandi, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Determining significant parameters in the design of ANFIS

Fariborz Jolai, Michael Lewis, Meysam Alizadeh, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

A New Validity Index for Fuzzy-Possibilistic C-Means Clustering pdf

Oscar Castillo, Mohammad Hossein Fazel Zarandi, Shahabeddin Sotudian, 2020, ArXiv.

Fuzzy rule-based expert system for diagnosis of thyroid disease

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, S. Amrollahi Biyouki, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

A hybrid fuzzy clustering approach for fertile and unfertile analysis

Mohammad Hossein Fazel Zarandi, Shima Soltanzadeh, Mojtaba Barzegar Astanjin, 2016, 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS).

Possibilistic c-means clustering using fuzzy relations

Mohammad Hossein Fazel Zarandi, M. Rostam Niakan Kalhori, M. F. Jahromi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Fuzzy rule based expert system for diagnosis of lung cancer

Mohammad Hossein Fazel Zarandi, Abbas Ahmadi, Farzad Vasheghani Farahani, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

A Hybrid Expert System for Generating Stock Trading Signals

Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi, Hosein Hamisheh Bahar, 2016 .

Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems

M. H. Fazel Zarandi, S. Askari, N Montazerin, 2015 .

A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

Mohammad Hossein Fazel Zarandi, Susan Bastani, Neda Mohammadhasan, 2012, Adv. Fuzzy Syst..

A Type-2 Fuzzy Model for Stock Market Analysis

Mohammad Hossein Fazel Zarandi, I. Burhan Türksen, Babak Rezaee, 2007, 2007 IEEE International Fuzzy Systems Conference.

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

I. Türksen, M. Zarandi, M. Pourakbar, 2008, Expert Syst. Appl..

An intelligent fuzzy Multi-Agent System for reduction of bullwhip effect in supply chains

Milad Avazbeigi, M.H. Fazel Zarandi, I.B. Turksen, 2009, NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society.

Segmentation of white matter, grey matter and cerebrospinal fluid from brain MR images using a modified FCM based on double estimation

Mohammad Hossein Fazel Zarandi, Zahra Sedighi Maman, Maryam Tavakoli-Zaniani, 2021, Biomed. Signal Process. Control..

Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization

N Montazerin, M. H. Fazel Zarandi, S. Askari, 2020, Appl. Soft Comput..

A material selection methodology and expert system for sustainable product design

Milad Avazbeigi, Saeid Mansour, M. H. F. Zarandi, 2011 .

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

S. Askari, N Montazerin, M. H. Fazel Zarandi, 2015, Appl. Soft Comput..

From Type-I to Type-II Fuzzy System Modeling for Diagnosis of Hepatitis

I. B. Turksen, M. H. Fazel Zarandi, Shahabeddin Sotudian, 2016 .