Navigating Economic and Agricultural Realms with Interval-Valued Complex Neutrosophic Fuzzy Sets

This article introduces the concept of the interval-valued complex neutrosophic fuzzy set, which extends traditional neutrosophic sets to address challenges like uncertainty, inconsistency, and indeterminate information. This specialized set blends complex fuzzy functions and real-valued fuzzy terms with phase elements. This article also discusses Hamming and Euclidean distances and proposes similarity measures based on these distances. These measures are applied in a multi-criteria decision-making method within an intervalvalued complex neutrosophic fuzzy structure. Practical applications include ranking alternatives and identifying optimal choices. Illustrative examples demonstrate its effectiveness in handling interval-valued complex neutrosophic fuzzy sets.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15733526
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Navigating Economic and Agricultural Realms with Interval-Valued Complex Neutrosophic Fuzzy Sets

SHILAP Revista de lepidopterología
Multi-Criteria Decision Making
article

Navigating Economic and Agricultural Realms with Interval-Valued Complex Neutrosophic Fuzzy Sets

article en

Abstract

This article introduces the concept of the interval-valued complex neutrosophic fuzzy set, which extends traditional neutrosophic sets to address challenges like uncertainty, inconsistency, and indeterminate information. This specialized set blends complex fuzzy functions and real-valued fuzzy terms with phase elements. This article also discusses Hamming and Euclidean distances and proposes similarity measures based on these distances. These measures are applied in a multi-criteria decision-making method within an intervalvalued complex neutrosophic fuzzy structure. Practical applications include ranking alternatives and identifying optimal choices. Illustrative examples demonstrate its effectiveness in handling interval-valued complex neutrosophic fuzzy sets.

SHILAP Revista de lepidopterología
Zero hunger
Openalex Percentile: Top 48%
Multi-Criteria Decision Making
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