| Article ID: | iaor20163527 | 
| Volume: | 245 | 
| Issue: | 1 | 
| Start Page Number: | 97 | 
| End Page Number: | 119 | 
| Publication Date: | Oct 2016 | 
| Journal: | Annals of Operations Research | 
| Authors: | Kksalan Murat, Karakaya Glsah | 
| Keywords: | decision: applications, e-commerce, internet, decision theory: multiple criteria, heuristics | 
The advances in the technological infrastructure and in the Internet led electronic auctions to become popular. With online sites, people buy/sell inexpensive products/services through auctions. In this paper, we develop an interactive approach that provides aid to both the buyer and the bidders in a bi‐attribute, multi‐item auction environment. Our approach is applicable for both reverse and forward auctions. We test our approach for underlying linear preference functions of the buyer. We also adapt it as a heuristic for the case the buyer has a nonlinear preference function. The test results show that our approach works well.