| Summary: | Fuzzy graphs (FGs), broadly known as fuzzy incidence graphs (FIGs), are an applicable and well-organized tool to epitomize and resolve multiple real-world problems in which ambiguous data and information are essential. In this article, we extend the idea of domination of FGs to the FIG using strong pairs. An idea of strong pair dominating set and a strong pair domination number (SPDN) is explained with various examples. A theorem to compute SPDN for a complete fuzzy incidence graph (CFIG) is also provided. It is also proved that in any fuzzy incidence cycle (FIC) with <i>l</i> vertices the minimum number of elements in a strong pair dominating set are <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mrow><mo>[</mo><msub><mi>γ</mi><mi>s</mi></msub><mrow><mo>(</mo><msub><mi>C</mi><mi>l</mi></msub><mrow><mo>(</mo><mi>σ</mi><mo>,</mo><mi>ϕ</mi><mo>,</mo><mi>η</mi><mo>)</mo></mrow><mo>)</mo></mrow><mo>]</mo></mrow><mo>=</mo><mrow><mo>⌈</mo><mfrac><mi>l</mi><mn>3</mn></mfrac><mo>⌉</mo></mrow></mrow></semantics></math></inline-formula>. We define the joining of two FIGs and present a way to compute SPDN in the join of FIGs. A theorem to calculate SPDN in the joining of two strong fuzzy incidence graphs is also provided. An innovative idea of accurate domination of FIGs is also proposed. Some instrumental and useful results of accurate domination for FIC are also obtained. In the end, a real-life application of SPDN to find which country/countries has/have the best trade policies among different countries is examined. Our proposed method is symmetrical to the optimization.
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