Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach Article Swipe
Multi-attribute reverse auction is widely used for the procurements of enterprises or governments.To overcome the difficulty of identifying bidding attribute weight and score function of the buyer, the multi-round auction and bidding models with multiple winners are established based on fuzzy data envelopment analysis.The winner determination model of the buyer considers the integrated input-output efficiency of k winners.The bidding strategy of seller is divided into two parts: the first one estimates the weight of the ideal supplier that is thought to be the buyer's preference; the second one is to calculate the weight of the test supplier which reflects the change trend of current weights and the seller's weakness.The final predicted weight is the weighted sum of both.On the basis of known weight, the test supplier can improve his efficiency to increase the winning chance in the next round auction.Our models comprise crisp numbers and fuzzy numbers.Finally, a numerical example verifies the validity of the proposed models.
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- article
- Language
- en
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- https://doi.org/10.25046/aj0203167
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https://openalex.org/W2754318850Canonical identifier for this work in OpenAlex
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https://doi.org/10.25046/aj0203167Digital Object Identifier
- Title
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Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis ApproachWork title
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articleOpenAlex work type
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enPrimary language
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2017Year of publication
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2017-08-01Full publication date if available
- Authors
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Deyan Chen, Dingwei WangList of authors in order
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https://doi.org/10.25046/aj0203167Publisher landing page
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https://astesj.com/?smd_process_download=1&download_id=2621Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://astesj.com/?smd_process_download=1&download_id=2621Direct OA link when available
- Concepts
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Data envelopment analysis, Computer science, Reverse auction, Data mining, Fuzzy logic, Operations research, Artificial intelligence, Mathematics, Mathematical optimization, Statistics, Common value auctionTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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