«Fuzzy expert system»

۳۶۵۰ نتیجه
  • hybrid credit scoring model using genetic algorithms and fuzzy expert systems case study: ghavvamin financial and credit institution

    مقالهمدیریت فناوری اطلاعاتمحمد تقی تقوی فرد, استادیار، گروه مهندسی صنایع، دانشکدۀ مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران فریبا سادات حسینی, کارشناس ارشد مدیریت فناوری اطلاعات، دانشگاه علامه طباطبایی، تهران، ایران محمد خان بابایی, دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت فناوری اطلاعات، تهران، ایران

    expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, i

  • A Fuzzy-GA Approach for Parameter Optimization of A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children

    مقاله۲۰۱۶Journal of Advances in Computer Engineering and TechnologyFarzaneh Latifi, Mahdi Mazinani, Rahil Hosseini

    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 learn

  • designing a fuzzy expert system for erp selection

    مقالهمدیریت صنعتیبابک سهرابی, دانشیار دانشکده مدیریت دانشگاه تهران، ایران کاوه طهماسبی پور, کارشناس ارشد مدیریت صنعتی، دانشگاه بین المللی امام خمینی، قزوین، ایران ایمان رئیسی وانانی, دانشجوی دکترای مدیریت سیستم‎ها، دانشکده مدیریت دانشگاه تهران، ایران

    the selection of erp systems has been considered as one of the most influential and risky managerial decisions due to its heavy burden of purchase and implementation costs. the purpose of this paper is designing a fuzzy expert system for selecting the appropriate erp system based

  • A Fuzzy Expert System for Selecting Green Information Technology Strategy

    مقاله۲۰۲۳Journal of Systems Thinking in PracticeMahsa Saberian, Ameneh Khadivar, Mahdieh Kabirian

    The pressure on Chief Information Officers (CIOs) to focus on Green Information Technology (GIT) has recently increased. However, many organizations still need to manage their environmental efforts due to a lack of strategic planning. This study aims to design a fuzzy expert syst

  • Novel Hybrid Fuzzy-Evolutionary Algorithms for Optimization of a Fuzzy Expert System Applied to Dust Phenomenon Forecasting Problem

    مقاله۲۰۱۸Journal of Advances in Computer ResearchMahdi Mazinani, Rahil Hosseini, Somayeh Ghanbari

    Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope wi

  • Novel Hybrid Fuzzy-Evolutionary Algorithms for Optimization of a Fuzzy Expert System Applied to Dust Phenomenon Forecasting Problem

    مقاله۲۰۱۸Journal of Advances in Computer ResearchMahdi Mazinani, Rahil Hosseini, Somayeh Ghanbari

    Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope wi

  • a fuzzy expert system for prognosis of the risk of development of heart disease

    مقالهjournal of advances in computer researchrana akhoondi, department of artificial intelligence, shahr-e-qods branch, islamic azad university, tehran, iran rahil hosseini, department of artificial intelligence, shahr-e-qods branch, islamic azad university, tehran, iran

    fuzzy logic has a high potential for managing the uncertainty sources associated with the medical expert systems. application of fuzzy inference model has been widely concentrated for managing uncertainties in computer based practices of medicine. this paper has proposed two fuzz

  • A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children

    مقاله۲۰۱۵International Journal of Information, Security and Systems ManagementFarzaneh Latifi, Mahdi Mazinai, Rahil Hosseini

    Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced.

  • A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children

    مقاله۲۰۱۵International Journal of Information, Security and Systems ManagementFarzaneh Latifi, Mahdi Mazinai, Rahil Hosseini

    Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced.

  • a fuzzy expert system for diagnosis of acute lymphocytic leukemia in children

    مقاله۲۰۱۵international journal of information, security and systems managementfarzaneh latifi, rahil hosseini, mahdi mazinai

    fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced.