Research Article

A Framework for Online Reverse Auction Based on Market Maker Learning with a Risk-Averse Buyer

Table 7

Results of the first iteration of simulation for open auction and additive scoring function.

First roundSeller’s scoreSeller’s profitSecond roundSeller’s scoreSeller’s profitThird roundSeller’s scoreSeller’s profit
SellerAttributesAttributesAttributes
123412341234

165122.8502.4499.9340.9462.0847.1622.8756.0249.9760.0811.2598.4642.8766.497
282162.9505.1179.9731.3674.6465.0282.9506.2969.9520.1664.6716.0453.0276.488
382633.3002.6149.9857.1550.1457.3893.6886.1869.9915.8140.1008.3313.6896.368
452222.7502.8299.9852.7900.6106.7902.7516.6399.9996.2500.3194.7352.7506.629
585253.5005.06710.0007.2121.5976.4803.7866.6849.9444.7591.5198.1933.8036.663
672633.5503.7089.9987.4366.8111.1953.5505.9399.9867.0958.2220.2383.5506.281
0.0660.0046