Affiliation:
1. Universite Hassan II Casablanca Faculte des Sciences Ben M'Sik
2. Sri Sivasubramaniya Nadar College of Engineering
3. St. Joseph’s College of Engineering,OMR
4. Ecole Royale Navale
5. Universite Hassan II de Casablanca
Abstract
Abstract
Graph theory is a developing field which has many advancements and developments in real-life applications. Although graph theory has rapid growth in modeling real life issues, some vague details in real-life problems are hard to picture using the usual graph. Fuzzy graph theory is known for its applications in modeling the human thinking, which has the same structure as graph theory. The concept of fuzzy graphs extended to Pythagorean fuzzy sets depends on real-time situations. Thus, the proposed investigation aims to develop the doctrine of Interval-Valued Pythagorean Neutrosophic Graphs (IVPNG) and their arithmetic operations. In addition, the concept of regular, strong, product, support strong, effective balanced IVPNG are introduced for aggregating the IVPNGs information and analysed with suitable examples. Further, a methodology for successful curriculum design is examined to illuminate the adequacy and feasibility of the developed IVPNG.
Publisher
Research Square Platform LLC
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