Title : 
Specifying vague requirements with a fuzzy logic based modeling framework
         
        
        
            Author_Institution : 
Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan
         
        
        
        
        
        
            Abstract : 
Proposes a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on the canonical form in test-score semantics and an extension of the notion of soft conditions. The trade-offs analysis of conflicting soft requirements is conducted using fuzzy multi-criteria optimization techniques. The proposed approach provide a framework for formally modeling vague functional requirements
         
        
            Keywords : 
formal specification; fuzzy logic; optimisation; faceted requirement classification scheme; fuzzy logic based modeling framework; fuzzy multi-criteria optimization techniques; heterogeneous requirements; soft conditions; test-score semantics; vague requirements; Computer science; Feathers; Fuzzy logic; Stochastic processes; Testing; Uncertainty;
         
        
        
        
            Conference_Titel : 
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
         
        
            Conference_Location : 
San Antonio, TX
         
        
            Print_ISBN : 
0-7803-2125-1
         
        
        
            DOI : 
10.1109/IJCF.1994.375118