Results 141 to 150 of about 3,791 (269)

Optimal Solution of a Fully Fuzzy Linear Fractional Programming Problem by Using Graded Mean Integration Representation Method

, 2015
In the present paper, the study of fully fuzzy linear fractional programming problem (FFLFPP) using graded mean integration representation method is discussed where all the parameters and variables are characterized by trapezoidal fuzzy numbers.
Deb, Moumita, De, P. K.
core  

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

A new vector-based framework combining AquaCrop, CROPWAT, WEAP, and multi-objective programming for optimizing crop allocation under water scarcity. [PDF]

Sci Rep
Mousavi M, Karimi M, Pilehforooshha P, Ahmadlou M, Farhadi-Bansouleh B.   +4 more
europepmc   +1 more source

Solving Fully Fuzzy Linear Programming Problems using The Fuzzy Chaos Approach

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
In this paper, an application of fuzzy chaos to a fuzzy linear programming problem with fuzzy goals, fuzzy constraints, and fuzzy variables is proposed. The application of the fuzzy chaos approach to a fuzzy linear programming problem is demonstrated in a concrete case. The model is illustrated with a numerical example of the maximization of the profit
openaire   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

A bi-objective robust fuzzy programming model to configure a microgrid-based cement supply chain. [PDF]

Sci Rep
Tirkolaee EB, Golpîra H, Bahramara S, Javanmardan A.   +3 more
europepmc   +1 more source

Efficiency evaluation using DEA in a fuzzy environment

, 2014
Data envelopment analysis (DEA) is a considerable mathematical programming technique for measuring the relative efficiencies of a set of decision making units (DMUs) with multiple inputs and multiple outputs.
Hatami-Marbini, Adel, Ebrahimnejad, Ali, 14th Iranian Conference on Fuzzy Systems   +2 more
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Multi-objective optimization of a regional biogas supply chain using organic waste. [PDF]

Sci Rep
Malashin IP, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source