Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Jih-Jeng Huang"'
Measure-Theoretic Analysis of Stochastic Competence Sets and Dynamic Shapley Values in Banach Spaces
Autor:
Jih-Jeng Huang, Chin-Yi Chen
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3085 (2024)
We develop a measure-theoretic framework for dynamic Shapley values in Banach spaces, extending classical cooperative game theory to continuous-time, infinite-dimensional settings. We prove the existence and uniqueness of strong solutions to stochast
Externí odkaz:
https://doaj.org/article/383659bc3b0e487e86026c9560769d05
Autor:
Jih-Jeng Huang, Chin-Yi Chen
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2863 (2024)
Interdependent criteria play a crucial role in complex decision-making across various domains. Traditional methods often struggle to evaluate and prioritize criteria with intricate dependencies. This paper introduces a generalized method integrating
Externí odkaz:
https://doaj.org/article/614d844927754e1a8a72381ad1064c56
Autor:
Jih-Jeng Huang, Chin-Yi Chen
Publikováno v:
Algorithms, Vol 17, Iss 4, p 152 (2024)
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (A
Externí odkaz:
https://doaj.org/article/0aac193d6767461482c419f3157f73f5
Autor:
Jih-Jeng Huang, Chin-Yi Chen
Publikováno v:
Axioms, Vol 13, Iss 2, p 95 (2024)
This paper introduces a pioneering model that merges coupled Markov chains (CMC) with the fuzzy analytic hierarchy process (FAHP) to enhance multi-criteria decision making (MCDM) amidst the dynamic interplay of criteria. Traditional MCDM frameworks o
Externí odkaz:
https://doaj.org/article/d9a51540a4b04fd6a49e4f808feed77a
Autor:
Jih-Jeng Huang, Chin-Yi Chen
Publikováno v:
Algorithms, Vol 17, Iss 1, p 1 (2023)
The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accur
Externí odkaz:
https://doaj.org/article/fa930dca98924d8c83a8cd38a6b0efe0
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Future Internet, Vol 15, Iss 10, p 323 (2023)
Traditional movie recommendation systems are increasingly falling short in the contemporary landscape of abundant information and evolving user behaviors. This study introduced the temporal knowledge graph recommender system (TKGRS), a ground-breakin
Externí odkaz:
https://doaj.org/article/1a1477056b4b4e999b06a060c8dce48f
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2362 (2023)
The analytic hierarchy process (AHP) has been a widely used method for handling multi-criteria decision-making (MCDM) problems since the 1980s. However, it postulates that criteria are independent and static, which may not always hold true in realist
Externí odkaz:
https://doaj.org/article/15c9f0b8bba34efdae3ce98b087a38e4
Defuzzify Imprecise Numbers Using the Mellin Transform and the Trade-Off between the Mean and Spread
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Algorithms, Vol 15, Iss 10, p 355 (2022)
Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues. However, these imprecise n
Externí odkaz:
https://doaj.org/article/6b76a6b3a8954fe7a6f20b6b9f88b61a
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3499 (2022)
The analytic hierarchy process (AHP) is one of the most popular multi-criteria decision-making (MCDM) methods, and so is its extension fuzzy analytic hierarchy process (FAHP). However, the FAHP, unlike the AHP, easily handles the trusted weights by t
Externí odkaz:
https://doaj.org/article/22e735bf5a2f45b69bff01a7333fc73d
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Symmetry, Vol 14, Iss 6, p 1109 (2022)
DEMATEL is a popular approach in multi-criteria decision making (MCDM) to understand the influence relationship between elements. In addition, the result of DEMATEL is used as the input in other approaches to explore further applications. However, DE
Externí odkaz:
https://doaj.org/article/ea51e07238ec4f93b6bab026f309519f