An interval-parameter fuzzy-stochastic programming approach for air quality management under uncertainty

Environmental Engineering Science

Volumn 25, Issue 6, 2008, Pages 895-909

  Lu, Hong Wei ^a   Huang, Guohe H ^a,b   Liu, Lei ^c   He, Li ^a  

^a UNIVERSITY OF REGINA   (Canada)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^c DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Air quality; Decision; Environment; Fuzzy; Inexact; Optimization; Stochastic; Uncertainty

Indexed keywords

AIR POLLUTION; AIR QUALITY; COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA HANDLING; DECISION MAKING; ENVIRONMENTAL PROTECTION; FUZZY LOGIC; FUZZY SETS; MANAGEMENT; MATHEMATICAL PROGRAMMING; PETROLEUM INDUSTRY; PLANNING; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; QUALITY CONTROL; QUALITY MANAGEMENT; SET THEORY;

AIR QUALITY MANAGEMENT; CONTROL STRATEGIES; DATA AVAILABILITY; DISCRETE INTERVALS; FUZZY SETS THEORY; HIGH EFFICIENCY; LOADING CONDITIONS; MODELING FRAMEWORK; OPERATION COSTS; OPTIMAL MANAGEMENT; PROBABILITY DENSITIES; REGIONAL AIR QUALITY; RESEARCH EFFORTS; SPECIAL FEATURES; SYSTEM FLEXIBILITY; SYSTEM OPERATIONS; TWO-STAGE STOCHASTIC PROGRAMMING; UNCERTAIN INFORMATIONS;

STOCHASTIC PROGRAMMING;

AIR POLLUTANT; AIR POLLUTION; AIR QUALITY; AIR QUALITY CONTROL; ARTICLE; STOCHASTIC MODEL;

EID: 48249131587     PISSN: 10928758     EISSN: None     Source Type: Journal    
DOI: 10.1089/ees.2007.0165     Document Type: Article

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