Results 21 to 30 of about 5,479,766 (279)

Z-Number-Based Maximum Expected Linear Programming Model with Applications

Mathematics, 2023
In research of a better description for information uncertainty, Z-numbers, which are related to both the objective information and the subjective criticism, were first conceptualized by Zadeh.
Meng Yuan, Biao Zeng, Jiayu Chen, Chenxu Wang   +3 more
doaj   +1 more source

Pentapartitioned Single-Valued Neutrosophic Z-Numbers: Theory and Applications [PDF]

Neutrosophic Sets and Systems
This paper introduces a novel framework, Pentapartitioned Single-Valued Neutrosophic Z-Numbers (PSVNZNs), to model uncertainty in decision-making problems. By integrating the five-component uncertainty representation of Pentapartitioned Neutrosophic Sets
A.Mohammed Shapique, R. Sudharani, K. Karuppiah, H. Prathab, M. Karthigeyan , S. Senthil   +5 more
doaj   +1 more source

Multi-Layer Decision Methodology For Ranking Z-Numbers [PDF]

International Journal of Computational Intelligence Systems, 2015
The new concept of a – number has been recently introduced in decision making analysis. This concept is capable of effectively dealing with uncertainty in information about a decision. As this concept is relatively new in fuzzy sets, its underlying
Ahmad Syafadhli Abu Bakar, Alexander Gegov   +1 more
doaj   +1 more source

TODIM and TOPSIS with Z-numbers [PDF]

Frontiers of Information Technology & Electronic Engineering, 2019
15 ...
Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos   +2 more
openaire   +3 more sources

Multi Attribute Decision Making Using Optimistic/Pessimistic Z-Numbers

IEEE Access, 2018
This paper presents a novel approach for multi attribute decision making (MADM). It proposes the concept of optimistic/pessimistic Z-number, which is defined as a tuple (Zx, δ) where Zx is a Z-number, and δ ∈ {+, -} determines if the
Mubarak Alrashoud
doaj   +1 more source

Ranking method for Z-numbers based on centroid-point [PDF]

, 2021
Zadeh introduced the concept of Z-number to provide a basis for computation with numbers that are not completely reliable, and it has the ability to portray fuzziness and reliability of information concurrently.
Ahmad, Tahir, Imam, Auwal Mustapha, Abdullahi, Mujahid, Garba, Salisu, Olayiwola, Abdulhakeem, Isyaku, Babangida   +5 more
core  

QZNs: Quantum Z-numbers

CoRR, 2021
Because of the efficiency of modeling fuzziness and vagueness, Z-number plays an important role in real practice. However, Z-numbers, defined in the real number field, lack the ability to process the quantum information in quantum environment. It is reasonable to generalize Z-number into its quantum counterpart.
Jixiang Deng, Yong Deng 0001
openaire   +3 more sources

Defuzzification of intuitionistic Z-Numbers for fuzzy multi criteria decision making [PDF]

, 2022
Z-numbers and intuitionistic fuzzy numbers are both important as they consider the reliability of the judgement, membership and non-membership functions of the numbers.
Nik Muhammad Farhan Hakim, Nik Badrul Alam, Ku Muhammad Naim, Ku Khalif, Ahmad Syafadhli, Abu Bakar, Mohd Lazim, Abdullah, Nor Izzati, Jaini   +4 more
core   +1 more source

Z-Numbers-Based Approach to Hotel Service Quality Assessment [PDF]

, 2022
In this study, we are analyzing the possibility of using Z-numbers for measuring the service quality and decision-making for quality improvement in the hotel industry.
Baysal, Ahmet Bahadir, Nuriyev, Aziz
core   +1 more source

Z-number-based-Decision-Matrix-initial-non-normalized.xlsx

, 2022
This file contains values of criteria of alternatives expressed by Z-numbers. Z-numbers expressed by membership function, not in linguistic form.
Aziz Nuriyev (12070250)
core   +1 more source