Probabilistic clustering techniques use the concept of memberships to describe the degree by which a vector belongs to a cluster. The use of memberships provides probabilistic methods with more realistic clustering than “hard” techniques. However, fuzzy schemes (like the Fuzzy c Means algorithm, FCW are open sensitive to outliers. We review four existing algorithms, devised to reduce this sensi...

Lean manufacturing is a strategic concern for companies which conduct mass production and it has become even more significant for those producing in a project-oriented way by modularization.  In this paper, a bi-objective optimization model is proposed to design and plan a supply chain up to the final assembly centre. The delivery time and the quality in the procurement and low fluctuation of t...

In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network. Then, without any prior knowledge of hostile intercept receiver, a novel fuzzy chance-constrained programming (FCCP) based security information optimization scheme is present...

Since that a job usually contains several working procedures in actual production, and it’s hard to optimize the flexible collaborative planning, the flexible lot splitting and scheduling of the job simultaneously in batch production mode, a model for multiobjective integration of flexible collaborative planning and fuzzy lot-splitting scheduling is established. We take four performance indicat...

In some practical situations the decision maker is interested in setting multi aspiration levels for objectives that may not be expressed in a specific manner. So in this paper, Atanassov’s intuitionistic fuzzy transportation problem with multi-item, multi-objective function assuming multiple choices is considered. We have modeled multi-objective multi-choice multi-item Atanassov’s intuitionist...

Offshore decision-making problems often involve uncertain exchange rates, and the uncertainty may present randomness and/or fuzziness. This paper describes uncertain exchange rates by possibility distributions. A new fuzzy optimization method is developed for offshore decision-making problems, in which the firm’s profit is measured by Lebesgue-Stieltjes (L–S) integral with respect to the credib...

This paper presents a new two-stage fuzzy optimization method for global production planning problem, in which exchange rates are characterized by fuzzy variables with known possibility distributions. For this purpose, we first introduce the measure generated by credibility distributions. Then we use the generated measure to define the Lebesgue-Stieltjes (L–S) integral of function of fuzzy vari...

The methodological paper presents a strategic model to simulate the reduction of CO2 emissions caused by the heating and lighting in the residential sector. The objective is to illustrate with this practical case a system-dynamics based simulation methodology in uncertain future, developed for providing policy recommendations to public decision-makers. The uncertainties on the marginal cost cur...