Results 71 to 80 of about 3,279 (191)

TOPSIS Approach for MCGDM Based on Intuitionistic Fuzzy Rough Dombi Aggregation Operations

Computational and Applied Mathematics, 2022
Atanassov presented the dominant notion of intuitionistic fuzzy sets (IFS) which brought revolution in different fields of science since their inception. The aim of this manuscript is to propos IF rough TOPSIS method based on Dombi operations. For this, first we proposed some new operational laws based on Dombi operations to aggregate averaging and ...
Azmat Hussain, Tahir Mahmood, Florentin Smarandache, Shahzaib Ashraf   +3 more
openaire   +2 more sources

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

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 Linguistic Z‐Intuitionistic Fuzzy Decision‐Making Framework for AI‐Enabled Sustainable Robotic Food Delivery Systems

Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.
The fast development of artificial intelligence (AI) and robotics has altered the current logistics and service industry, where sustainability, reliability, and efficiency have become critical objectives. Autonomous systems in such dynamic environments are required to make important decisions in uncertain, imprecise, and conflicting situations.
Shahzaib Ashraf, Ammara Shahzadi, Gokul K. C., Ferdinando Di Martino   +3 more
wiley   +1 more source

A Multistage Two‐Sided Matching Model in Interval‐Valued Triangular Fuzzy Environments

Complexity, Volume 2026, Issue 1, 2026.
In two‐sided matching problems, accurately quantifying preference intensity using precise numerical values remains a significant challenge due to the inherent complexity and fuzziness of real‐world decision‐making. Moreover, existing research rarely considers the staged dynamics of matching processes across multiple time periods. To address these gaps,
Jian-min Qiao, Wan-bao Wu, Wo-yuan Li, Pramita Mishra   +3 more
wiley   +1 more source

Enhancing Interval-Valued Pythagorean Fuzzy Decision-Making through Dombi-Based Aggregation Operators

, 2023
The success of any endeavor or process is heavily contingent on the ability to reconcile and satisfy balance requirements, which are often characterized by symmetry considerations.
Saman Javaid, Umer Shuaib, Abdul Razaq, Ghaliah Alhamzi, Harish Garg, Asima Razzaque   +5 more
core   +1 more source

ES‐SORM: A Ranking Operator With Anchored Normalization and Structured Output

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
This study addresses two persistent structural problems in multicriteria decision analysis that directly affect the reliability and interpretability of ranking results: ranking instability when the alternative set changes and the reduction of decision output to a single score or rank.
Ömer Faruk Rençber, Richard Murray
wiley   +1 more source

A Novel Neutrosophic Recommender System Model Using Entropy Theory and Collaborative Filtering Algorithm

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
User behavior data used in recommender systems are frequently inconsistent, uncertain, and hesitant, making it challenging to model using common traditional techniques. Fuzzy logic, known for its ability to handle uncertainty, has therefore been widely adopted.
Nguyen-Giap Cu, Thi-Lich Nghiem, Le-Kim-Danh Tran, Richard Murray   +3 more
wiley   +1 more source

An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning

Journal of Applied Mathematics, Volume 2026, Issue 1, 2026.
Due to the inherent uncertainty in selecting a best alternative, T‐spherical fuzzy 2‐tuple linguistic (T‐SF2TL) sets will be an advantageous method for decision makers (DMs) to assist their evaluations within T‐SF2TL framework. The objective of this study is to establish weighted Hamy mean (WHM) and weighted dual Hamy mean (WDHM) operators within the ...
Wejdan Deebani, Muhammad Ibrar, Zahir Shah, Nasser Aedh Alreshidi, Meshal Shutaywi, Li Yanhong, Paolo Maria Mariano   +6 more
wiley   +1 more source

Győry Sándor és Adam Smith gondolatpárhuzamai

A 19. század „forradalmi” változásai Európában számos területen zajlottak. Megerősödtek a nemzeti önállósodás igényei, a reformtörekvések. A tudomány fejlődése (Golnhofer & Szabolcs, 2009; Szabolcs, 2016) a műveltségmodell újraalkotásához vezetett. Ez
Fáyné Dombi, Alice
core   +1 more source