An approach to evaluating the mechanical automation with intuitionistic fuzzy information

被引：0

作者：

Siyuan, Chen ^{[1
]}

Zhenhua, Zhang ^{[2
]}

机构：

[1] College of Mechanical Science and Engineering, Jilin University, Changchun, Jilin, China

[2] College of Computer Science and Engineering, Jilin University, Changchun, Jilin, China

来源：

BioTechnology: An Indian Journal | 2014年 / 10卷 / 12期

关键词：

Fuzzy rules - Function evaluation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The evaluating models of mechanical automation with intuitionistic fuzzy information are investigated. Some operational laws of intuitionistic fuzzy numbers, score functions and accuracy function of intuitionistic fuzzy numbers are introduced. Based on these operational laws, we used the intuitionistic fuzzy Bonferroni mean (IFBM) operator to evaluate the mechanical automation. Finally, an illustrative example for evaluating the mechanical automation with intuitionistic fuzzy information is given to verify the developed approach. © Trade Science Inc.

引用

页码：6870 / 6875

共 50 条

[21] Evaluating knowledge management failure factors using intuitionistic fuzzy FMEA approach
Hossein Sayyadi Tooranloo
Arezoo Sadat Ayatollah
Somayeh Alboghobish
[J]. Knowledge and Information Systems, 2018, 57 : 183 - 205
[22] Evaluating knowledge management failure factors using intuitionistic fuzzy FMEA approach
Tooranloo, Hossein Sayyadi
Ayatollah, Arezoo Sadat
Alboghobish, Somayeh
[J]. KNOWLEDGE AND INFORMATION SYSTEMS, 2018, 57 (01) : 183 - 205
[23] Incremental updating fuzzy tolerance rough set approach in intuitionistic fuzzy information systems with fuzzy decision
Wang, Lu
Pei, Zheng
Qin, Keyun
Yang, Lei
[J]. APPLIED SOFT COMPUTING, 2024, 151
[24] Model for evaluating the risk management of trade enterprise with interval intuitionistic trapezoidal fuzzy information
[J]. Liu, X. (xhddd@126.com), 1600, Advanced Institute of Convergence Information Technology (04):
[25] Model for evaluating the Technological Innovation Capability in High-tech Enterprises with Fuzzy Number Intuitionistic Fuzzy Information
Zeng, Zhen
[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (04) : 2085 - 2094
[26] Valuation of Crisp and Intuitionistic Fuzzy Information
Metzger, Olga
Spengler, Thomas
Volkmer, Tobias
[J]. OPERATIONS RESEARCH PROCEEDINGS 2017, 2018, : 113 - 119
[27] Rough Intuitionistic Fuzzy Information Systems
Davvaz, B.
Jafarzadeh, M.
[J]. FUZZY INFORMATION AND ENGINEERING, 2013, 5 (04) : 445 - 458
[28] INTUITIONISTIC FUZZY ORDERED INFORMATION SYSTEM
Xu, Weihua
Liu, Yufeng
Li, Tongjun
[J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2013, 21 (03) : 367 - 390
[29] Evaluating Fuzzy Reliability Using Rough Intuitionistic Fuzzy Set
Kumar, Deepak
Singh, S. B.
[J]. 2014 INNOVATIVE APPLICATIONS OF COMPUTATIONAL INTELLIGENCE ON POWER, ENERGY AND CONTROLS WITH THEIR IMPACT ON HUMANITY (CIPECH), 2014, : 138 - 142
[30] An approach to evaluating the risk of marketing with hesitant fuzzy information
[J]. Yan, X. (bzyanxr@126.com), 2012, Advanced Institute of Convergence Information Technology (04)

← 1 2 3 4 5 →