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

2016 ◽  
pp. 254-263
Author(s):  
B. Krishnaveni ◽  
S. Chandrika ◽  
G. Ganesan
Keyword(s):  
Information Systems ◽  
Fuzzy Decision ◽  
Intuitionistic Fuzzy ◽  
Decision Attributes

KNOWLEDGE REDUCTION IN LATTICE-VALUED INFORMATION SYSTEMS WITH INTERVAL-VALUED INTUITIONISTIC FUZZY DECISION

2013 ◽  
Vol 22 (01) ◽  
pp. 1250030 ◽  
Author(s):  
WEI-HUA XU ◽  
SHI-HU LIU ◽  
FU-SHENG YU
Keyword(s):  
Information Systems ◽  
Lattice Theory ◽  
Fuzzy Decision ◽  
Discernibility Matrix ◽  
Knowledge Reduction ◽  
Intuitionistic Fuzzy ◽  
Complex Information ◽  
Sets Theory ◽  
Consistent Information ◽  
Interval Valued

In this paper, associated with dominance relation, lattice theory and intuitionistic fuzzy sets theory, the lattice-valued information systems with interval-valued intuitionistic fuzzy decision are proposed and some of its properties are investigated carefully. And, an approach to knowledge reduction based on discernibility matrix in consistent lattice-valued information systems with interval-valued intuitionistic fuzzy decision is constructed and an illustrative example is applied to show its validity. Moreover, extended from the idea of knowledge reduction in consistent information systems, four types of reductions and approaches to obtaining the knowledge reductions of the inconsistent lattice-valued information systems with interval-valued intuitionistic fuzzy decision are formulated via the use of discernibility matrix. Furthermore, examples are considered to show that the approaches are useful and effective. One can obtain that the research is meaningful both in theory and in application for the issue of knowledge reduction in complex information systems.

A three-way decision approach with risk strategies in hesitant fuzzy decision information systems

2021 ◽  
Author(s):  
Jiajia Wang ◽  
Xueling Ma ◽  
Zeshui Xu ◽  
Jianming Zhan
Keyword(s):  
Information Systems ◽  
Fuzzy Decision

scholarly journals Rough Intuitionistic Fuzzy Information Systems

2013 ◽  
Vol 5 (4) ◽  
pp. 445-458 ◽  
Author(s):  
B. Davvaz ◽  
M. Jafarzadeh
Keyword(s):  
Information Systems ◽  
Fuzzy Information ◽  
Intuitionistic Fuzzy

Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijit Majumdar ◽  
Jeevaraj S ◽  
Mathiyazhagan Kaliyan ◽  
Rohit Agrawal
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Emerging Economies ◽  
Supplier Selection ◽  
Fuzzy Decision Making ◽  
Ideal Solution ◽  
Fuzzy Decision ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Selection Of

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.

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