Indexing of Information Systems Using Intuitionistic Rough Fuzzy Groups with Intuitionistic Fuzzy Decision Attributes

被引：0
|
作者：
Krishnaveni, B. [1 ]
Chandrika, S. [1 ]
Ganesan, G. [2 ]
机构：
[1] Aditya Engn Coll, Dept Humanities & Basic Sci, Surampalem, Andhra Pradesh, India
[2] Adikavi Nannaya Univ, Dept Math, Rajahmundry, Andhra Pradesh, India
来源：
SMART TRENDS IN INFORMATION TECHNOLOGY AND COMPUTER COMMUNICATIONS, SMARTCOM 2016 | 2016年 / 628卷
关键词：
Intuitionistic rough fuzzy groups; Information system; Indexing algorithm;
D O I：
10.1007/978-981-10-3433-6_31
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A naive approach in rough computing under fuzziness and intuitionistic fuzziness through thresholds was given by G. Ganesan in 2005. Later in 2013, B. Krishnaveni and G. Ganesan had derived a procedure of characterizing information systems using intuitionistic fuzzy decision attributes through intuitionistic rough fuzzy groups. Using this, G. Ganesan and B. Krishnaveni in 2014 introduced the indexing procedure in characterization obtained using fuzzy decision attributes. In present paper, let us apply this procedure under intuitionistic fuzzy decision attributes.
引用
收藏
页码：254 / 263
页数：10
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