Results 41 to 50 of about 6,021,352 (193)

AHP‐Based Consensus Model for Probabilistic Hesitant Fuzzy Preference Relations With Application of Sustainable Green Manufacturing Technology Assessment

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Multicriteria group decision‐making (MCGDM) under epistemic uncertainty requires robust systems that can manage both experts’ doubt and their confidence in results. The representation of judgments through probabilistic hesitant fuzzy preference relations (PHFPRs) provides detailed information, yet several consensus models rely on logarithmic ...
Nighat Rehman, Rukhshanda Anjum, Atiq ur Rehman, Muhammad Umar Farooq, Mohamed Abubakar Fiidow, Musavarah Sarwar   +5 more
wiley   +1 more source

A Sustainable Decision-Making Framework for Open Pit Mining Site Selection: An Integrated Step Method and Multi-Attribute Utility Theory [PDF]

E3S Web of Conferences
The selection of optimal mining site location is crucial for attaining sustainable mining practices, especially within the wake of new and renewable energy developments.
Muttaqin Benazir Imam Arif, Ciptomulyono Udisubakti, Siswanto Nurhadi, Alfarisi Salman   +3 more
doaj   +1 more source

Utility independence of multiattribute utility theory is equivalent to standard sequence invariance of conjoint measurement [PDF]

Journal of Mathematical Psychology, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bleichrodt, Han, Doctor, JN, Filko, M, Wakker, Peter   +3 more
openaire   +1 more source

Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria

Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.
Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group decision‐making method, accommodating diverse criteria based on real ...
Akbar Karimi, Mohammad Anisseh, Farideh Sobhanifard, Yasar Becerikli   +3 more
wiley   +1 more source

A Cross‐Entropy‐Driven MABAC Method Under Interval‐Valued q‐Rung Orthopair Fuzzy Sets

Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.
Cross‐entropy is a useful tool for quantifying the divergence between systems. In this paper, we develop an interval‐valued q‐rung orthopair fuzzy cross‐entropy measure. Subsequently, the satisfaction‐based cross‐entropy (SCE) is derived from the compromise rule, integrating decision‐makers’ risk preferences to enhance rationality.
Benting Wan, Jun Wan, Zhengjiang Li, Juelin Huang, Youyu Cheng, Shaoxuan Huang, Ping-Feng Pai   +6 more
wiley   +1 more source

Ranking Alternatives on the Basis of a Dominance Intensity Measure [PDF]

, 2010
The additive multi-attribute utility model is widely used within MultiAttribute Utility Theory (MAUT), demanding all the information describing the decision-making situation. However, these information requirements can obviously be far too strict in many
Jiménez Martín, Antonio, Moreno Díaz, Arminda, Aguayo Garcia, Ernesto Aaron, Mateos Caballero, Alfonso   +3 more
core  

A Multiattribute Utility Approach to Target Assignment

, 2009
This paper introduces the multiattribute utility theory to the control Lyapunov function design framework. As an illustration we focus on the problem of multi-target assignment.
Xi Chen, Dusˇan M. Stipanovic´, Ali E. Abbas   +2 more
core   +1 more source

Procesos drv: la toma de decisiones como entrenamiento para equipos de trabajo

Ingenieria Industrial, 2010
Este artículo presenta un método orientado a facilitar la toma de decisiones en equipos de trabajo. La propuesta utiliza herramientas de la Teoría de Utilidad Multiatributo, combinadas con Estadística.
José Luis Zanazzi, José María Conforte, Magdalena Dimitroff, Laura Leonor Boaglio, Alicia Salamon   +4 more
doaj  

Heterogeneous Methodology to Support the Early Diagnosis of Gestational Diabetes

IEEE Access, 2019
Gestational diabetes mellitus (GDM) is a public health problem. Along with changes in eating habits, increased purchasing power, and climate change, among others, the number of women with gestational diabetes complicated by pregnancy is increasing.
Egidio Gomes Filho, Placido Rogerio Pinheiro, Mirian Caliope Dantas Pinheiro, Luciano Comin Nunes, Luiza Barcelos Gualberto Gomes   +4 more
doaj   +1 more source

Artificial Intelligence in the Design and Development of Nanoparticle Drug Delivery Systems: A Systematic Review

Advances in Pharmacological and Pharmaceutical Sciences, Volume 2026, Issue 1, 2026.
Background Artificial intelligence (AI) has rapidly emerged as a powerful tool for accelerating the design and optimization of nanoparticle‐based drug delivery systems (NDDSs). By analyzing complex multidimensional datasets, AI models can predict nanoparticle physicochemical properties, biodistribution, and safety profiles more efficiently than ...
Razan Haddad, Anjali Chauhan
wiley   +1 more source