A real-life decision-making problem with Hendecagonal fuzzy numbers

Autor:	Deepak Sukheja, Javaid Ahmad Shah, G. Madhu, S. Nagini, B.V. Kiranmayee, Sandeep Kautish
Rok vydání:	2022
Předmět:	Statistics and Probability Artificial Intelligence General Engineering
Zdroj:	Journal of Intelligent & Fuzzy Systems. 43:7923-7936
ISSN:	1875-8967 1064-1246
DOI:	10.3233/jifs-212416
Popis:	Making the correct decision in a real-time situation is extremely difficult. In today’s technological age, computational methods are available, and they may assist the company’s top leaders in making sound decisions and strengthening the organization. There are several techniques for dealing with decision-making problems, one of which is the use of Hendecagonal fuzzy numbers. These fuzzy numbers are used to represent the ambiguity or ambiguity of eleven linguistic variables. To address these shortcomings, we use the ranking method, relativity function, and comparison matrix to aid in decision-making because we have eleven constraints (linguistic variables) that can be expressed in a hendecagonal fuzzy number matrix (HdcgFNM). The raking technique, relativity function, and comparison matrix were evaluated using a case study.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87f55ea2f6edbe7576efc7c2a7a09b4f https://doi.org/10.3233/jifs-212416 Zobrazit plný text záznamu Plný text ve formátu PDF