This paper focuses on multiobjective linear programming problems involving fuzzy random variable coefficients. A new decision making model and Pareto optimal solution concept are proposed using α-level cuts of membership function. It is shown that the problem including both randomness and fuzziness is equivalently transformed into a deterministic problem. An interactive algorithm is proposed in...

This article deals with an economic order quantity (EOQ) inventory model for items with imperfect quality in fuzzy stochastic environment, wherein shortages are allowed and completely backlogged. Fuzzy stochastic environment means linguistic ‘impreciseness’ and statistical ‘uncertainty’ both appear simultaneously. Due to uncertain demand trend, imperfect production process, natural disaster etc...

Many decisions need to be made based on imprecise or incomplete initial information. In such cases, decision makers are generally more interested in some sets of the most promising solutions rather than the best single solution. Therefore, in contrast to conventional optimisation approaches that aim to find exact optimal points, we aim to find optimal ranges with variable satisfaction degrees. ...

The planning and managing of bus networks as a urban public transport system is a relevant problem. Several proposals focus the planning of new bus networks. In this paper, we focus the speci c task of reallocating buses from di erent lines of a previously planned bus network in case of restrictions, such as vehicle breakdowns and drivers absences. Our proposal uses a fuzzy decision tree, which...

Analysis of strengths, weaknesses, opportunities and threats (SWOT) is a method to formulate the strategy. Although the SWOT analysis successfully provides the key factors of the problem, it has some drawbacks in selecting appropriate strategy for the evaluation and final decision steps. During recent years, some multiple criteria decision making (MCDM) remove some of these deficiencies, but th...

Recently, Fuzzy Grey Cognitive Map (FGCM) has been proposed as a FCM extension. It is based on Grey System Theory, that it is focused on solving problems with high uncertainty, under discrete incomplete and small data sets. The FGCM nodes are variables, representing grey concepts. The relationships between nodes are represented by directed edges. An edge linking two nodes models the grey causal...

Hong [Fuzzy Optimization of Decision Making 13 (2014) 415-434, Information Sciences 228 (2013) 45-60.] considers the law of large numbers for T -independent weighted fuzzy variables whose underlying spaces are Rp. He proved T -independent fuzzy renewal theorems and renewal reward theorems with respect to the necessity measure and the expected values of fuzzy variable by using the law of large n...

This paper presents a fuzzy stochastic dynamic programming (FSDP) approach to derive steady-state multipurpose reservoir operating policies. The vagueness associated with some operating objectives as well as with the decision-making process is apprehended through fuzzy set theory. Operating objectives are considered as fuzzy sets and their membership functions represent decision maker’s prefere...

Due to the nature of real world problems, the collected data usually involve some kind of uncertainty. As a matter of fact, many parts of information cannot be quantified due to their nature. Incomplete information or partial ignorance is also another cause for resorting to fuzziness. In many decision making problems, fuzzy values are approximated by crisp data. This defuzzification leads to lo...