Results 101 to 110 of about 2,285 (218)

A Novel Possibilistic Variance of Trapezoidal Intuitionistic Fuzzy Number [PDF]

, 2021
Intuitionistic fuzzy number as the extension of fuzzy number has better capability to model uncertain data in scientifical engineering problem. In this paper, we present a novel possibilistic variance for trapezoidal intuitionistic fuzzy number (TIFN) based on possibility theory.
openaire   +1 more source

Intuitionistic fuzzy calculus

, 2017
This book offers a comprehensive and systematic review of the latest research findings in the area of intuitionistic fuzzy calculus. After introducing the intuitionistic fuzzy numbers’ operational laws and their geometrical and algebraic properties, the ...
Zeshui Xu, Qian Lei, Lei, Qian, Xu, Zeshui   +3 more
core   +1 more source

A New Approach to Solve Intuitionistic Fuzzy Linear Programming Problems with Symmetric Trapezoidal Intuitionistic Fuzzy Numbers

, 2015
Parvathi & Malathi (Intuitionistic fuzzy simplex method, International Journal of Computer Applications, 48, 39-48, 2012) proposed an intuitionistic fuzzy simplex algorithm to solve Intuitionistic Fuzzy Linear Programming Problems (IFLPPs) with ...
Sidhu, Sukhpreet Kaur, Sukhpreet Kaur Sidhu   +1 more
core  

Neutrosophic Sets and Systems [PDF]

, 2013
Neutrosophic Sets and Systems has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as ...
Smarandache, Florentin (Editor-in-Chief)
core   +1 more source

Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment

International Journal of Computational Intelligence Systems, 2016
In this paper, we propose new methods to represent interdependence among alternative attributes and experts’ opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers.
Jindong Qin, Xinwang Liu, Witold Pedrycz
doaj   +1 more source

Analytical Hierarchy Process based on intuitionistic interval approximation of trapezoidal intuitionistic fuzzy numbers

Data Analytics and Applied Mathematics
The fuzzy Analytical Hierarchy Process (AHP) is a method in fuzzy decision-making, which helps decision makers make the best choice of alternatives when dealing with uncertainty.
Nik Muhammad Farhan Hakim Nik Badrul Alam, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini   +2 more
doaj   +1 more source

Interval-valued intuitionistic fuzzy prioritized hybrid weighted aggregation operator and its application in decision making

, 2015
Interval-valued intuitionistic fuzzy numbers (IVIFNs) are usually utilized in multi-attribute decision making problems, providing an accurate description of incomplete and uncertain information.
Wu, Hua, Su, Xiuqin
core   +1 more source

Aggregation Operator-Based Trapezoidal-Valued Intuitionistic Fuzzy WASPAS Algorithm and Its Applications in Selecting the Location for a Wind Power Plant Project

Mathematics
Trapezoidal-valued intuitionistic fuzzy numbers (TrVIFNs) are the real generalizations of intuitionistic fuzzy numbers, interval-valued intuitionistic fuzzy numbers, and triangular intuitionistic fuzzy numbers, which effectively model real-life problems ...
Bibhuti Bhusana Meher, Jeevaraj Selvaraj, Melfi Alrasheedi   +2 more
doaj   +1 more source

Simplified Interval-Valued Intuitionistic Fuzzy Line Integrals and Their Application

IEEE Access, 2019
In the past few years, the intuitionistic fuzzy calculus (IFC) has been proposed, which is based on some basic operational laws of intuitionistic fuzzy numbers (IFNs).
Zhenghai Ai, Xiaoqin Shu, Zeshui Xu
doaj   +1 more source

Multi-Attribute Decision-Making Based on Bonferroni Mean Operators under Cubic Intuitionistic Fuzzy Set Environment

Entropy, 2018
Cubic intuitionistic fuzzy (CIF) set is the hybrid set which can contain much more information to express an interval-valued intuitionistic fuzzy set and an intuitionistic fuzzy set simultaneously for handling the uncertainties in the data. Unfortunately,
Gagandeep Kaur, Harish Garg
doaj   +1 more source