Fuzzy Cognitive Maps Based on D-Number Theory

In real life, there will be a lot of uncertainty problems, one which is due to the vagueness concept things, that is, it difficult determine whether an object conforms this concept. This situation widely exists in some states, phenomena, parameters and interrelationships between things. For such uncertain events with heavy subjective influencing factors incomplete data, suitable use fuzzy methods deal them. present our work, we firstly introduce notion D-number cognitive maps (DCMs), are intelligent framework models based on theory maps. Compared Evidential Cognitive Maps (ECMs) Fuzzy (FCMs), DCMs can fuse multiple sources information construct map model conflicting information. To better solve problem knowledge combination, (DFCMs) also constructed many practical applications, establishment usually completed by using simple arithmetic average method for experts obtain comprehensive processing may lead loss important so synthesized results do not reflect reality. overcome challenge, synthesize characteristics representation expert FCMs. It knowledge, reliability distribution function used as basis final weight synthesis.