In this paper, a consensus-based method for multi-person decision making (MPDM) using product transitivity with incomplete fuzzy preference relations (IFPRs) is proposed. Additionally, an average aggregation operator has been used at the first level to estimate the missing preference values and construct the complete fuzzy preference relation (FPR). Then it is confirmed to be product consistent by using the transitive closure formula. Following this, weights of decision makers (DMs) are evaluated by merging consistency weights and predefined priority weights (if any). The consistency weights for the DMs are estimated through product consistency investigation of the information provided by each DM. The consensus process determines whether the selection procedure should be initiated or not. The hybrid comprises of a quitting process and feedback mechanism, and is used to enhance the consensus level amongst DMs in case of an inadequate state. The quitting process arises when some DMs decided to leave the course, and is common in MPDM while dealing with a large number of alternatives. The feedback mechanism is the main novelty of the proposed technique which helps the DMs to improve their given preferences based on this consistency. At the end, a numerical example is deliberated to measure the efficiency and applicability of the proposed method after the comparison with some existing models under the same assumptions. The results show that proposed method can offer useful comprehension into the MPDM process.
机构:
Shandong Technol & Business Univ, Sch Business Adm, Yantai 264005, Peoples R ChinaShandong Technol & Business Univ, Sch Business Adm, Yantai 264005, Peoples R China
Song, Yongming
Yuan, Feng
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Shandong Management Univ, Sch Informat Engn, Jinan 250357, Shandong, Peoples R China
Shandong Management Univ, Univ Shandong, Key Lab TCM Data Cloud Serv, Jinan 250357, Shandong, Peoples R ChinaShandong Technol & Business Univ, Sch Business Adm, Yantai 264005, Peoples R China
机构:
Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
Hohai Univ, Sch Business, Nanjing 211100, Jiangsu, Peoples R ChinaHohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
Xu, Yejun
Patnayakuni, Ravi
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Univ Alabama, Dept Econ & IS, Huntsville, AL 35763 USAHohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
Patnayakuni, Ravi
Wang, Huimin
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Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
Hohai Univ, Sch Business, Nanjing 211100, Jiangsu, Peoples R ChinaHohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
机构:
Hohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Hohai Univ, Res Inst Management Sci, Sch Business, Nanjing 211100, Jiangsu, Peoples R ChinaHohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Xu, Yejun
Chen, Lei
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Hohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Hohai Univ, Res Inst Management Sci, Sch Business, Nanjing 211100, Jiangsu, Peoples R ChinaHohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Chen, Lei
Rodriguez, Rosa M.
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Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, SpainHohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Rodriguez, Rosa M.
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Herrera, Francisco
Wang, Huimin
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Hohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China
Hohai Univ, Res Inst Management Sci, Sch Business, Nanjing 211100, Jiangsu, Peoples R ChinaHohai Univ, Sta Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210098, Jiangsu, Peoples R China