Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 20, 2026SymmetryOpen Access

Fully Hesitant Fuzzy Bilevel Linear Programming and Its Application to Quantum Communication Resource Allocation

View Full Paper
Ask AI
Bookmark
Share

Authors

JTJintao TanSDShengyue DengLHLan Hu

Discussion

Loading...

Member takes

Overview

Randomized trial assesses a new decision-making model in quantum communication resource allocation, highlighting its effectiveness.

Key Points

  • This paper aims to enhance fuzzy bilevel decision-making under multi-expert uncertainty for resource allocation in quantum communication.
  • Developed a fully hesitant fuzzy bilevel linear programming model using hesitant fuzzy numbers.
  • Applied (α,k)-cuts to transform into an interval-valued bilevel programming problem.
  • Utilized KKT conditions to convert sub-models into MPCCs for efficient solving.
  • Optimal solution interval converges to a unique core value as the membership-level α increases.
  • Larger consensus parameter k reduces the fuzzy support set without changing the core solution.

Cite This Study

Tan et al. (2026) studied this question.

synapsesocial.com/papers/6a363123db0793dc1a53816ehttps://doi.org/10.3390/sym18061055
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Study on Fully Interval Valued Intuitionistic Fuzzy Multilevel Quadratic Programming Problem2026
  2. 2Generating compromise solution of bi-level multi-objective intuitionistic fuzzy fractional programming problem                          2026
  3. 3A Nonlinear Programming Approach to Solving Interval-Valued Intuitionistic Hesitant Noncooperative Fuzzy Matrix Games2024 · 10 citations
  4. 4Improving Solutions for a Fuzzy Random Multi-Objective Linear Fractional Program2026
  5. 5Uncertain Multilevel Programming Based on Hurwicz Criterion with Application to Resource Allocation2024