A fully Fermatean fuzzy multi-objective transportation model using an extended DEA technique

M Akram, S Shahzadi, SMU Shah, T Allahviranloo - Granular Computing, 2023 - Springer
A mathematical technique called data envelope analysis is used to determine the relative
efficiency of decision-making units (DMU) with numerous inputs and outputs. Compared to …

Does Islamic investing modify portfolio performance? Time-varying optimization strategies for conventional and Shariah energy-ESG-utilities portfolio

MG Asl, MM Rashidi, HR Tavakkoli, H Rezgui - The Quarterly Review of …, 2024 - Elsevier
This paper aims to assess the performance of Islamic portfolios vis-à-vis their conventional
counterparts across two distinct periods: the pre-COVID-19 era and the COVID-19 era …

Artificial-intelligence-driven management: Autonomous real-time trading and testing of portfolio or inventory strategies

MB Schrettenbrunner - IEEE Engineering Management Review, 2023 - ieeexplore.ieee.org
Artificial-intelligence-driven management (AIDM) replaces the deming cycle with the artificial
intelligence-assisted plan-predict-act cycle. Collaborative LeanBots for an industrial base …

[HTML][HTML] An asset subset-constrained minimax optimization framework for online portfolio selection

J Yin, A Zhong, X **ao, R Wang, JZ Huang - Expert Systems with …, 2024 - Elsevier
Effective online portfolio selection necessitates seamless integration of three key properties:
diversity, sparsity, and risk control. However, existing algorithms often prioritize one property …

Comparative Analysis of Innovation Districts to Set Up Performance Goals for Tec Innovation District

JE Alarcón-Martínez, D Güemes-Castorena… - Quality Innovation …, 2023 - qip-journal.eu
Purpose: Innovation districts represent a way to create, foster, and manage innovation.
Different regions apply their strategy according to the dominant stakeholder in the region …

Robust, extended goal programming with uncertainty sets: an application to a multi-objective portfolio selection problem leveraging DEA

N Mohseny-Tonekabony, SJ Sadjadi… - Annals of Operations …, 2024 - Springer
This study presents a two-phase approach of Data Envelopment Analysis (DEA) and Goal
Programming (GP) for portfolio selection, representing a pioneering attempt at combining …

Uncertain bi-objective portfolio programming models of risky assets with liquidity and entropy constraints under uncertainty theory based DEA efficiency measures

B Li, Q Gao - Journal of Computational and Applied Mathematics, 2025 - Elsevier
Portfolio optimization is an important class of decision management problems. In addition,
data envelopment analysis method is often used to evaluate the pros and cons of the …

Optimization methods and algorithms

P Biró, S Bozóki, T Király, A Kristály - Central European Journal of …, 2024 - Springer
Recent results of three areas, pickup and delivery, optimal mass transportation, matching
under preferences are highlighted. The topics themselves have been selected from the …

The Sixth Organizational Maturity Level and Autonomous Digital Transformation for Nonlinear or Exponential Growth

MB Schrettenbrunner - IEEE Engineering Management Review, 2024 - ieeexplore.ieee.org
Artificial-Intelligence-Driven Management” is the axiomatic paradigm shift that replaces the
Deming cycle with the Artificial Intelligence-assisted Plan-Predict-Act (PPA) cycle. Apart from …

Measuring digital development: ranking using data envelopment analysis (DEA) and network readiness index (NRI)

Z Bánhidi, I Dobos - Central European Journal of Operations Research, 2024 - Springer
Abstract The Network Readiness Index (NRI) is one of the most prominent indicators that
shows the digital development of countries. In contrast to the International Digital Economy …