Group AHP framework based on geometric standard deviation and interval group pairwise comparisons-Reference-Cited by-同舟云学术

Group AHP framework based on geometric standard deviation and interval group pairwise comparisons

Published:2023-05 Issue: Volume:626 Page:370-389
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Grošelj Petra,Dolinar Gregor

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference73 articles.

1. A two-phase algorithm for consensus building in AHP-group decision making;Srdjevic;Appl. Math. Model.,2013

2. W. Guo, Z. Gong, W.-G. Zhang, Y. Xu, Minimum cost consensus modeling under dynamic feedback regulation mechanism considering consensus principle and tolerance level, Eur. J. Oper. Res. NA. doi: 10.1016/j.ejor.2022.08.033.

3. The place of AHP method among multi criteria decision making methods in forest management;Zandebasiri;Int. J. Appl. Oper. Res.,2016

4. Multi-criteria decision analysis (MCDA) in forest operations–an introductional review;Blagojevic;Croatian J. Forest Eng.,2019

5. Applying analytic hierarchy process to adaptation to saltwater intrusion in vietnam;Nguyen;Sustainability,2021

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Algebraic analysis of pairwise comparisons with non-reciprocal property;Information Sciences;2024-11

2. Urban Flood Resilience Evaluation Based on Heterogeneous Data and Group Decision-Making;Entropy;2024-09-03

3. Weighting Content Specifications for the National Medical Licensing Examination via Group Analytic Hierarchy Process;Educational Measurement: Issues and Practice;2024-07-19

4. Implementing a Multi-Attribute Decision-Making-Based Approach to Evaluate Small Electric Vertical Takeoff and Landing Fixed-Wing Drones with Mission Efficiency;Aerospace;2024-07-11

5. Scenario simulation in decision-making optimization: lessons from social coppice forests;International Journal of Environmental Science and Technology;2024-05-31