محمد حسین فاضل زرندی
دانشیار دانشکده مهندسی صنایع دانشگاه صنعتی امیر کبیر
[ 1 ] - تعیین سیاست هماهنگ تولید و سفارش در زنجیره ای شامل یک خریدار و یک فروشنده با تقاضای تصادفی
هماهنگ سازی، یکی از ارکان مهم در مدیریت یک زنجیره تامین به منظور افزایش توان رقابتی، برای باقی ماندن در بازار میباشد. هماهنگ سازی بر اساس مذاکره برای تدارک و تولید در زنجیره خریدار- فروشنده، از مباحث مورد توجه تحقیقاتی به خصوص در سیستمهای نوین میباشد. روشهای مختلفی همچون تخفیف، کمینه سازی متغیرهای تابع هایی که هزینههای کل زنجیره رادر بر گرفتهاند و مواردی از این نوع توسعه داده شده است. در ا...
[ 2 ] - A Hybrid Modeling for Continuous Casting Scheduling Problem
This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert systemfor scheduling steel continuous casting. Continuous caster scheduling is a complex and extensiveprocess that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as asolution. The agents used herein can cooperate with each other via various communication protocols.To facilitat...
[ 3 ] - FUZZY CONTROL CHARTS FOR VARIABLE AND ATTRIBUTE QUALITY CHARACTERISTICS
This paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. Derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. We extend the use o...
[ 4 ] - Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
[ 5 ] - Image Segmentation: Type–2 Fuzzy Possibilistic C-Mean Clustering Approach
Image segmentation is an essential issue in image description and classification. Currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. Moreover, there are many uncertainties and vagueness in images, which crisp clustering and even Type-1 fuzzy clustering could not handle. Hence, Type-...
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