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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
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Fuzzy set theory in multi-criteria engineering decision making
Zaware Sarika Nitinzaware@aissmsioit.orgDepartment of Computer Engineering AISSMS Institute of Information TechnologyPune, Maharashtra, 411001, IndiaView full profile →
, Pooja Ashok Shelarpooja.shelar@vit.eduDepartment of Artificial Intelligence & Data Science Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, *Deepika SharmaCorresponding authordeepika.sharma@niu.edu.inDepartment of Computer Science Noida International UniversityDepartment of Computer Sciences Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
, V. Dhanalakshmidhanalakshmiv@maher.ac.inDepartment of Computer Science Meenakshi College of Arts and Science Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
, Sharyu Ikharsharayuikhar@gmail.comResearcher Connect Innovations and Impact Private LimitedNagpur, Maharashtra, 440027, IndiaView full profile →
, Yogesh Nagargojesymbiosisyogesh@gmail.comResearcher Connect Innovation and Impact Private LimitedResearcher Connect Innovation and Impact Pvt. Ltd.Pune, Maharashtra, 410506, IndiaView full profile →
* Corresponding author · click or hover a name for details
With the incorporation of fuzzy set theory into Multi-criteria decision-making (MCDM), the engineers have modified how they make decisions in consideration of uncertainty and imprecision. Where emotional considerations come into play together with numerical considerations in a given real life problem, a conventional decision making process does not apply well. At the time when Zadeh invented the fuzzy set theory, fuzzy set could handle vague and incomplete data and hence it is highly applicable in engineering. When we do not know what will happen, Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique of Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) simplify the process of comparison and ranking of options. The paper examines such approaches and provides an explanation and examples mathematically and in the field of engineering.
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