Jian-Peng Chang

Requirement-driven supplier selection: a multi-criteria QFD-based approach under epistemic and stochastic uncertainties

International Journal

Year of publication

2024

Author

Volume

342

Pagination

1079-1128

DOI

10.1007/s10479-024-06131-0

Journal

ANNALS OF OPERATIONS RESEARCH

Number

2

Date Published

NOV

ISSN Number

0254-5330

Chang, J. -P., et al. «Requirement-Driven Supplier Selection: A Multi-Criteria Qfd-Based Approach Under Epistemic And Stochastic Uncertainties». NOV. Annals Of Operations Research, 2, 2024, pp. 1079-1128.

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Requirement-driven sustainable supplier selection: Creating an integrated perspective with stakeholders interests and the wisdom of expert crowds

International Journal

Year of publication

2023

Author

Mirosław J. Skibniewski

Volume

175

Pagination

108903

Keywords

sustainable supplier selection

Consensus reaching process

Best worst method

consistency improving process

wisdom of crowds

DOI

https://doi.org/10.1016/j.cie.2022.108903

Journal

Computers & Industrial Engineering

ISSN Number

0360-8352

URL

https://www.sciencedirect.com/science/article/pii/S0360835222008919

Chang, J. -P., et al. «Requirement-Driven Sustainable Supplier Selection: Creating An Integrated Perspective With Stakeholders Interests And The Wisdom Of Expert Crowds». Computers & Industrial Engineering, 2023, p. 108903.

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Assessing the Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With Wisdom of Crowds

International Journal

Year of publication

2023

Author

Miroslaw J. Skibniewski

Volume

31

Issue

2

Pagination

434-448

DOI

10.1109/TFUZZ.2022.3185680

Journal

IEEE Transactions on Fuzzy Systems

Chang, J. -P., et al. «Assessing The Spatial Synergy Between Integrated Urban Rail Transit System And Urban Form: A Buli-Based Mclsga Model With Wisdom Of Crowds». Ieee Transactions On Fuzzy Systems, 2023, pp. 434-448.

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Sustainable building material selection: An integrated multi-criteria large group decision making framework

International Journal

Year of publication

2021

Author

Mirosław J. Skibniewski

Volume

113

Pagination

107903

Keywords

Sustainable building material selection

Quality function deployment

Improved basic uncertain linguistic information

Consensus reaching process

TOPSIS

DOI

https://doi.org/10.1016/j.asoc.2021.107903

Journal

Applied Soft Computing

ISSN Number

1568-4946

URL

https://www.sciencedirect.com/science/article/pii/S1568494621008255

Chen, Z. -S., et al. «Sustainable Building Material Selection: An Integrated Multi-Criteria Large Group Decision Making Framework». Applied Soft Computing, 2021, p. 107903.

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Several Novel Aggregation Functions for PHFS and their Application to MCGDM

Author

Year of publication

2019

Conference Name

IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

Pagination

29-35

Publisher

IEEE

ISBN Number

978-1-7281-2348-6

DOI

10.1109/ISKE47853.2019.9170383

Chen, Z. -S., et al. «Several Novel Aggregation Functions For Phfs And Their Application To Mcgdm». Ieee 14Th International Conference On Intelligent Systems And Knowledge Engineering (Iske), IEEE, 2019, pp. 29-35.

International Conference

Documento

2019-Chen et al.pdf523.04 KB

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"Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building"

International Journal

Year of publication

2019

Author

Volume

85

Pagination

783-807

Keywords

"Quality Function Deployment

Basic uncertain linguistic information

Sustainable building material selection

ELECTRE III

Multiple criteria group decision making"

DOI

https://doi.org/10.1016/j.engappai.2019.08.006

Journal

Engineering Applications of Artificial Intelligence

ISSN Number

"0952-1976"

URL

http://www.sciencedirect.com/science/article/pii/S0952197619301915

Chen, Z. -S., et al. «"Sustainable Building Material Selection: A Qfd- And Electre Iii-Embedded Hybrid Mcgdm Approach With Consensus Building"». Engineering Applications Of Artificial Intelligence, 2019, pp. 783-807.

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