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{ "item_title" : "Advances in Best-Worst Method", "item_author" : [" Jafar Rezaei", "Matteo Brunelli", "Majid Mohammadi "], "item_description" : "This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/124/818/303124818X_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Best-Worst Method|Jafar Rezaei

Advances in Best-Worst Method : Proceedings of the Third International Workshop on Best-Worst Method (Bwm2022)

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Overview

This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.

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Details

  • ISBN-13: 9783031248184
  • ISBN-10: 303124818X
  • Publisher: Springer
  • Publish Date: February 2024
  • Dimensions: 9.21 x 6.14 x 0.4 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 177

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