Results 61 to 70 of about 7,724 (232)

Logistics Service Providers' Business Models in the Circular Economy: A Systematic Literature Review and Panarchy Theory Framework

open access: yesBusiness Strategy and the Environment, Volume 35, Issue 1, Page 1128-1164, January 2026.
ABSTRACT Logistics service providers (LSPs) can support the transition to a circular economy (CE) through their visibility over and facilitation of resource flows between supply chain (SC) actors. However, the proliferation of CE‐related terms, compounded by a manufacturer‐centric focus on CE culminating in knowledge siloes that result in an overall ...
Orsolya‐Anna Mate   +3 more
wiley   +1 more source

TOPSIS Modification with Interval Type-2 Fuzzy Numbers

open access: yesCybernetics and Information Technologies, 2016
This paper proposes a new TOPSIS with interval type-2 fuzzy numbers. The extension applies graded mean integration to compare normal fuzzy trapezoidal sets.
Ilieva Galina
doaj   +1 more source

Multi‐Objective Optimization of Phase Change Coupled Thermal Management System Based on NSWOA

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 1, January 2026.
NSWOA‐optimized liquid‐PCM hybrid cooling reduces 18 650 pack Tmax by 5.9 K and ΔT to 4.7 K at 4 °C discharge, validated within 1.5 K error; non‐uniform cell placement and key PCM properties are balanced for safety. This study investigates phase change materials (PCMs) for lithium battery thermal management.
Yang Yang   +4 more
wiley   +1 more source

Quantitative Assessment Model for Technology Transfer Risks in University‐Enterprise Collaborative Innovation: Based on Multi‐Objective Optimization Strategy of Deep Adversarial Reinforcement Learning

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley   +1 more source

TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making

open access: yesComplexity, 2019
The linguistic Pythagorean fuzzy set (LPFS) is an important implement for modeling the uncertain and imprecise information. In this paper, a novel TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed for LPFSs ...
Mingwei Lin, Chao Huang, Zeshui Xu
doaj   +1 more source

Advancing Sustainable Operational Efficiency in the Mining Industry: Trends, Innovations, Frameworks, and Future Research Directions

open access: yesSustainable Development, Volume 34, Issue S1, Page 736-757, January 2026.
ABSTRACT This review highlights the urgent need for sustainable operational efficiency (SOE) in the mining industry (MI) as it confronts escalating environmental, social, and economic pressures. Although considerable progress has been achieved in areas such as life cycle assessment, renewable energy integration, and data‐driven decision‐making ...
A. Akofa Amegboleza, M. Ali Ülkü
wiley   +1 more source

TRAPEZOİDAL LİNGUİSTİC CUBİC HESİTANT FUZZY TOPSIS METHOD AND APPLİCATİON TO GROUP DECİSİON MAKİNG PROGRAM

open access: yesJournal of New Theory, 2017
– In this paper, we define a new idea of trapezoidal linguistic cubic hesitant fuzzy number. We discuss some basic operational laws of trapezoidal linguistic cubic hesitant fuzzy number and hamming distance of trapezoidal linguistic cubic hesitant fuzzy ...
A. Fahmi, S. Abdullah, F. Amin
doaj  

A improved fuzzy TOPSIS based on centroid of fuzzy numbers

open access: yes, 2023
Abstract Fuzzy multicriteria decision making (fuzzy MCDM) problem has attracted the attention of many researchers in connection with its important interest in various fields. Fuzzy TOPSIS (Technique for order preference by similarity to ideal solution) is one of the most widely used fuzzy MCDM methods, which is constantly evolving due to ...
Jong-Hui Mun, Kyong-Ho Mun
openaire   +1 more source

Mean‐Guided Elite Selection Genetic Algorithm for Multi‐Objective Optimization of Operational Costs and Voltage Control in Grid‐Connected Microgrids

open access: yesIET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper proposes a mean‐guided elite selection genetic algorithm (MGES‐GA) for bi‐objective optimisation of grid‐connected microgrids, minimising both operational costs and voltage deviation. MGES‐GA improves the selection process by considering both high‐performing and low‐performing individuals to balance exploration and exploitation.
Natasha Dimishkovska Krsteski   +1 more
wiley   +1 more source

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