Open AccessInduced interval-valued Pythagorean trapezoidal fuzzy aggregation operators based on Einstein operations and their application in group decision making
Author(s) -
Muhammad Shakeel,
Saleem Abdullah,
Muhammad Shahzad,
Aliya Fahmi
Publication year - 2018
Publication title -
journal of integrative neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.336
H-Index - 33
eISSN - 1757-448X
pISSN - 0219-6352
DOI - 10.3233/jin-180092
Subject(s) - pythagorean theorem , operator (biology) , einstein , group decision making , commutative property , construct (python library) , fuzzy logic , mathematics , interval (graph theory) , group (periodic table) , monotonic function , algebra over a field , computer science , discrete mathematics , artificial intelligence , pure mathematics , combinatorics , mathematical analysis , geometry , law , physics , quantum mechanics , gene , repressor , chemistry , mathematical physics , biochemistry , political science , transcription factor , programming language
The aim of this paper is to investigate the information aggregation methods under induced interval-valued Pythagorean trapezoidal fuzzy environment. Some Einstein operational laws on Pythagorean trapezoidal fuzzy numbers are defined based on Einstein sum and Einstein product. In this paper, we introduce the idea of induced interval-valued Pythagorean trapezoidal fuzzy Einstein ordered weighted geometric (I-IVPTFEOWG) operator and induced interval-valued Pythagorean trapezoidal fuzzy Einstein hybrid geometric (I-IVPTFEHG) operator. We discuss some basic properties of the proposed operator, including idempotency, commutativity and monotonicity. We construct an algorithm for multiple attribute group decision making problem, and apply the proposed aggregation operator to deal with multiple attribute group decision making. Finally we construct a numerical example for multiple attribute group decision making and compare the result with existing methods.