A Lance Distance-Based MAIRCA Method for q- Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information

被引：3

作者：

Wang, Haolun ^{[1
]}

Xu, Tingjun ^{[1
]}

Pamucar, Dragan ^{[2
,3
]}

Li, Xuxiang ^{[1
]}

Feng, Liangqing ^{[1
]}

机构：

[1] Nanchang Hangkong Univ, Sch Econ & Management, Nanchang, Peoples R China

[2] Univ Belgrade, Fac Org Sci, Belgrade, Serbia

[3] Yuan Ze Univ, Coll Engn, Taoyuan, Taiwan

来源：

INFORMATICA | 2024年 / 35卷 / 01期

关键词：

Lance distance measure; interaction operations; q-ROF numbers; MCDM; DECISION-MAKING; MEAN OPERATORS; MODEL;

D O I：

10.15388/23-INFOR516

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this manuscript is to develop a novel MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method to solve the MCDM (Multiple Criteria Decision-Making) problems with completely unknown weights in the q-rung orthopair fuzzy (q-ROF) setting. Firstly, the new concepts of q-ROF Lance distance are defined and some related properties are discussed in this paper, from which we establish the maximizing deviation method (MDM) model for q-ROF numbers to determine the optimal criteria weight. Then, the Lance distance-based MAIRCA (MAIRCA-L) method is designed. In it, the preference, theoretical and real evaluation matrices are calculated considering the interaction relationship in q-ROF numbers, and the q-ROF Lance distance is applied to obtain the gap matrix. Finally, we manifest the effectiveness and advantage of the q-ROF MAIRCA-L method by two numerical examples.

引用

页码：179 / 202

页数：24

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