کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
389740 661171 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An adaptive fuzzy logic system for automated negotiations
ترجمه فارسی عنوان
سیستم منطقی فازی تطبیقی ​​برای مذاکرات خودکار
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

The rapid growth of the Web means that humans become increasingly incapable of searching among millions of resources to find and purchase items. Autonomous entities such as agents could help in these situations. Electronic markets (EMs) are virtual sites where these autonomous entities can interact to exchange items and obtain specific returns. In this study, we consider the interactions between buyers and sellers in EMs, where we focus specifically on the buyer side. These interactions can be modeled as finite horizon negotiations. However, the buyer cannot be certain of the characteristics of the seller during negotiations (incomplete knowledge). Thus, to address this uncertainty, we propose a fuzzy logic (FL) system that is responsible for determining the appropriate actions of the buyer during every negotiation round. We also propose an adaptation technique that updates the FL rule base and system membership functions as necessary. Using this approach, the system can respond to even the complex strategies followed by a seller. A seller strategy estimation method is also adopted by the system, which employs the known kernel density estimator (KDE). We provide results for a large number of negotiations and compare our system with previous research in this area. Our results show that the proposed system exhibits good performance in many negotiation scenarios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 269, 15 June 2015, Pages 135–152
نویسندگان
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