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Advances in best-worst method = proc...

International Workshop on Best-Worst Method (2021 :)

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Advances in best-worst method = proceedings of the second International Workshop on Best-Worst Method (BWM2021) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in best-worst method/ edited by Jafar Rezaei, Matteo Brunelli, Majid Mohammadi.
其他題名:	proceedings of the second International Workshop on Best-Worst Method (BWM2021) /
其他題名:	BWM2021
其他作者:	Rezaei, Jafar.
團體作者:	International Workshop on Best-Worst Method
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	x, 288 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- The balancing role of Best and Worst in Best-Worst Method -- Hierarchical evaluation of criteria and alternatives within BWM: A Mon-te Carlo approach -- A two-step Best-Worst Method (BWM) and K-Means clustering recom-mender system framework -- A linguistic 2-tuple Best-Worst Method -- How does the entrepreneurship ecosystem contribute to the perfor-mance of entrepreneurial start-up firms? -- A multi-attribute decision-making to sustainable construction material selection: A Bayesian BWM-SAW hybrid model -- Risk assessment of passenger flow in an urban rail transit system: indi-cators, application, and analysis -- Bridge infrastructure resilience analysis against seismic hazard using Best-Worst Method -- A value-focused approach for the design of innovative logistics con-cepts: the case of off-peak pickup and delivery in the air cargo industry -- An Innovative digital maturity assessment model for smart cities -- Determining the importance of barriers to IoT implementation using Bayesian Best-Worst Method -- Assessment of environmental performance criteria in textile industry using the Best-Worst Method.
Contained By:	Springer Nature eBook
標題:	Multiple criteria decision making - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-89795-6
ISBN:	9783030897956

Advances in best-worst method = proceedings of the second International Workshop on Best-Worst Method (BWM2021) /
Advances in best-worst methodproceedings of the second International Workshop on Best-Worst Method (BWM2021) /[electronic resource] :BWM2021edited by Jafar Rezaei, Matteo Brunelli, Majid Mohammadi. - Cham :Springer International Publishing :2022. - x, 288 p. :ill. (some col.), digital ;24 cm. - Lecture notes in operations research,2731-0418. - Lecture notes in operations research..

Preface -- The balancing role of Best and Worst in Best-Worst Method -- Hierarchical evaluation of criteria and alternatives within BWM: A Mon-te Carlo approach -- A two-step Best-Worst Method (BWM) and K-Means clustering recom-mender system framework -- A linguistic 2-tuple Best-Worst Method -- How does the entrepreneurship ecosystem contribute to the perfor-mance of entrepreneurial start-up firms? -- A multi-attribute decision-making to sustainable construction material selection: A Bayesian BWM-SAW hybrid model -- Risk assessment of passenger flow in an urban rail transit system: indi-cators, application, and analysis -- Bridge infrastructure resilience analysis against seismic hazard using Best-Worst Method -- A value-focused approach for the design of innovative logistics con-cepts: the case of off-peak pickup and delivery in the air cargo industry -- An Innovative digital maturity assessment model for smart cities -- Determining the importance of barriers to IoT implementation using Bayesian Best-Worst Method -- Assessment of environmental performance criteria in textile industry using the Best-Worst Method.

This book presents recent advances in the theory and application of the Best-Worst Method (BWM) It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis.

ISBN: 9783030897956

Standard No.: 10.1007/978-3-030-89795-6doiSubjects--Topical Terms:

694229
Multiple criteria decision making
--Congresses.

LC Class. No.: T57.95 / .I57 2021

Dewey Class. No.: 658.403

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